| Title | Value |
|---|---|
| Model | all-minilm |
| Ollama link | https://ollama.com/library/all-minilm |
| Hugging Face link | https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2 |
| Architecture | bert |
| Parameters | 23M |
| Model size (disk) | 43,8 MB |
| Context length | 512 |
| Dimensions | 384 |
| Quantization | F16 |
| Distinct token count | 30522 |
| Ollama model — last updated on | 06/05/2024 |
| Hugging Face model — created on | 03/03/2022 |
| Hugging Face model — last updated on | 01/06/2026 |
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | king - man + woman | queen (0.58) | king (0.63) woman (0.63) queen (0.58) monarch (0.55) princess (0.44) countess (0.44) |
✖ | |
| en | queen - woman + man | king (0.52) | man (0.66) queen (0.58) king (0.52) monarch (0.47) prince (0.42) london (0.33) |
✖ | |
| fr | roi - homme + femme | reine (0.22) | roi (0.70) femme (0.53) roi-soleil (0.37) femme-médecin (0.36) nurse (0.31) princess (0.26) |
✖ | |
| fr | reine - femme + homme | roi (0.26) | reine (0.72) homme (0.56) docteur (0.34) roi-soleil (0.34) doctoresse (0.33) capitale (0.32) |
✖ | |
| en | paris - france + germany | berlin (0.77) | berlin (0.77) paris (0.75) germany (0.74) frankfurt (0.66) city (0.62) london (0.61) |
✔ | 0.02 |
| fr | paris - france + allemagne | berlin (0.30) | allemagne (0.81) paris (0.41) métropole (0.39) metropolis (0.34) ville (0.33) city (0.31) |
✖ | |
| en | paris - france + england | london (0.73) | london (0.73) england (0.73) paris (0.69) city (0.56) germany (0.53) berlin (0.50) |
✔ | 0.00 |
| fr | paris - france + angletterre | londres (0.23) | angletterre (0.79) paris (0.45) métropole (0.41) compte (0.40) comptesse (0.35) ville (0.34) |
✖ | |
| fr | roi - homme + ville | capitale (0.31) | roi (0.67) ville (0.57) town (0.41) capital (0.36) roi-soleil (0.36) city (0.32) |
✖ | |
| en | king - man + city | capital city (0.53) | city (0.66) king (0.65) monarch (0.55) town (0.53) capital city (0.53) london (0.49) |
✖ | |
| fr | infirmier - homme + femme | infirmière (0.65) | infirmier (0.69) infirmière (0.65) femme (0.52) femme-médecin (0.34) nurse (0.31) woman (0.30) |
✖ | |
| fr | infirmière - femme + homme | infirmier (0.67) | infirmière (0.71) infirmier (0.67) homme (0.51) comptesse (0.32) roi-soleil (0.30) docteur (0.28) |
✖ | |
| fr | médecin - homme + femme | femme-médecin (0.75) | femme-médecin (0.75) médecin (0.69) médecine (0.64) femme (0.58) nurse (0.50) female doctor (0.49) |
✔ | 0.06 |
| fr | docteur - homme + femme | docteur (0.66) | docteur (0.66) femme (0.54) femme-médecin (0.45) doctoresse (0.37) nurse (0.32) mariadb (0.30) |
✔ | 0.12 |
| fr | doctoresse - femme + homme | docteur (0.49) | doctoresse (0.75) homme (0.56) docteur (0.49) doctor (0.46) médecin (0.42) médecine (0.41) |
✖ | |
| en | doctor - man + woman | female doctor (0.71) | female doctor (0.71) doctor (0.67) woman (0.65) nurse (0.56) medicine (0.50) doctoresse (0.49) |
✔ | 0.04 |
| en | female doctor - woman + man | doctor (0.54) | man (0.66) doctor (0.54) female doctor (0.49) medicine (0.39) doctoresse (0.30) viscount (0.30) |
✖ | |
| fr | médecine - femme + homme | médecine (0.72) | médecine (0.72) médecin (0.68) homme (0.56) medicine (0.50) doctoresse (0.48) doctor (0.44) |
✔ | 0.04 |
| en | capital + city | capital city (0.92) | capital city (0.92) capital (0.85) city (0.85) town (0.71) capitale (0.71) london (0.58) |
✔ | 0.07 |
| en | woman + doctor | doctor (0.82) | doctor (0.82) woman (0.82) female doctor (0.78) nurse (0.63) medicine (0.61) doctoresse (0.55) |
✔ | 0.00 |
| fr | femme + médecin | femme-médecin (0.92) | femme-médecin (0.92) femme (0.80) médecin (0.80) médecine (0.74) female doctor (0.58) medicine (0.56) |
✔ | 0.12 |
| fr | roi + soleil | roi-soleil (0.90) | roi-soleil (0.90) roi (0.76) soleil (0.76) francfort (0.43) homme (0.42) duc (0.41) |
✔ | 0.14 |
| fr | base + données | base de données (0.79) | base de données (0.79) données (0.77) base (0.77) système de gestion de base de données (0.57) system (0.49) compte (0.44) |
✔ | 0.02 |
| en | database + management + system | database management system (0.72) | system (0.76) management (0.75) database (0.74) database management system (0.72) dbms (0.62) mysql (0.55) |
✖ | |
| en | avg(king, queen, prince, princess) | monarch (0.76) | monarch (0.76) princesse (0.76) countess (0.62) viscount (0.47) duke (0.46) sovereign (0.46) |
✔ | 0.00 |
| fr | avg(roi, reine, prince, princesse) | monarque (0.42) | princess (0.71) queen (0.60) king (0.57) monarch (0.54) countess (0.52) roi-soleil (0.48) |
✖ | |
| en | avg(mysql, oracle, postgresql, mariadb) | database (0.76) | database (0.76) database management system (0.58) dbms (0.52) system (0.37) nurse (0.34) monarque (0.33) |
✔ | 0.18 |
| en | avg(mysql, mariadb) | database (0.71) | database (0.71) postgresql (0.54) database management system (0.53) dbms (0.45) oracle (0.43) nurse (0.35) |
✔ | 0.17 |
| en | avg(paris, london, berlin, madrid) | city (0.74) | city (0.74) barcelona (0.74) germany (0.70) france (0.70) frankfurt (0.65) england (0.62) |
✔ | 0.00 |
| Term | Similarity |
|---|---|
| king | 1.00 |
| monarch | 0.74 |
| queen | 0.68 |
| prince | 0.59 |
| princess | 0.48 |
| princesse | 0.44 |
| viscount | 0.43 |
| countess | 0.42 |
| duke | 0.42 |
| doctor | 0.40 |
| Term | Similarity |
|---|---|
| roi | 1.00 |
| roi-soleil | 0.64 |
| capital | 0.35 |
| reine | 0.34 |
| capitale | 0.34 |
| medicine | 0.31 |
| doctor | 0.29 |
| france | 0.28 |
| angletterre | 0.28 |
| management | 0.28 |
Time to compute vectorization examples: 1,4 s
| Title | Value |
|---|---|
| Model | nomic-embed-text |
| Ollama link | https://ollama.com/library/nomic-embed-text |
| Hugging Face link | https://huggingface.co/nomic-ai/nomic-embed-text-v1.5 |
| Architecture | nomic-bert |
| Parameters | 137M |
| Model size (disk) | 261,6 MB |
| Context length | 2048 |
| Dimensions | 768 |
| Quantization | F16 |
| Distinct token count | 30522 |
| Ollama model — last updated on | 21/02/2024 |
| Hugging Face model — created on | 10/02/2024 |
| Hugging Face model — last updated on | 07/04/2026 |
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | king - man + woman | queen (0.79) | queen (0.79) king (0.75) princess (0.65) monarch (0.64) woman (0.61) countess (0.58) |
✔ | 0.04 |
| en | queen - woman + man | king (0.77) | king (0.77) monarch (0.74) queen (0.73) prince (0.72) man (0.60) duke (0.57) |
✔ | 0.03 |
| fr | roi - homme + femme | reine (0.30) | roi (0.76) femme (0.59) roi-soleil (0.45) woman (0.41) femme-médecin (0.40) postgresql (0.39) |
✖ | |
| fr | reine - femme + homme | roi (0.30) | reine (0.76) homme (0.62) capitale (0.45) roi-soleil (0.43) comptesse (0.43) king (0.42) |
✖ | |
| en | paris - france + germany | berlin (0.70) | germany (0.71) berlin (0.70) paris (0.67) frankfurt (0.59) city (0.55) london (0.52) |
✖ | |
| fr | paris - france + allemagne | berlin (0.52) | allemagne (0.71) paris (0.63) berlin (0.52) metropolis (0.51) city (0.49) london (0.46) |
✖ | |
| en | paris - france + england | london (0.70) | london (0.70) england (0.70) paris (0.64) city (0.53) metropolis (0.52) berlin (0.49) |
✔ | 0.00 |
| fr | paris - france + angletterre | londres (0.27) | angletterre (0.70) paris (0.62) city (0.49) london (0.46) barcelona (0.45) madrid (0.43) |
✖ | |
| fr | roi - homme + ville | capitale (0.31) | roi (0.71) ville (0.61) roi-soleil (0.43) city (0.39) capital (0.36) countess (0.36) |
✖ | |
| en | king - man + city | capital city (0.65) | city (0.72) king (0.68) capital city (0.65) queen (0.62) capital (0.59) metropolis (0.55) |
✖ | |
| fr | infirmier - homme + femme | infirmière (0.57) | infirmier (0.73) femme (0.61) infirmière (0.57) femme-médecin (0.55) woman (0.49) female doctor (0.48) |
✖ | |
| fr | infirmière - femme + homme | infirmier (0.64) | infirmière (0.79) homme (0.65) infirmier (0.64) capitale (0.47) compte (0.45) système de gestion de base de données (0.44) |
✖ | |
| fr | médecin - homme + femme | femme-médecin (0.78) | femme-médecin (0.78) médecin (0.75) médecine (0.69) femme (0.60) female doctor (0.52) doctoresse (0.50) |
✔ | 0.03 |
| fr | docteur - homme + femme | docteur (0.73) | docteur (0.73) femme (0.63) femme-médecin (0.62) female doctor (0.57) doctoresse (0.52) doctor (0.49) |
✔ | 0.10 |
| fr | doctoresse - femme + homme | docteur (0.55) | doctoresse (0.75) homme (0.62) doctor (0.61) comptesse (0.55) docteur (0.55) médecine (0.53) |
✖ | |
| en | doctor - man + woman | female doctor (0.82) | female doctor (0.82) doctor (0.78) woman (0.65) doctoresse (0.64) femme-médecin (0.62) medicine (0.61) |
✔ | 0.04 |
| en | female doctor - woman + man | doctor (0.77) | doctor (0.77) female doctor (0.72) man (0.72) medicine (0.61) doctoresse (0.55) médecine (0.54) |
✔ | 0.05 |
| fr | médecine - femme + homme | médecine (0.75) | médecine (0.75) médecin (0.70) medicine (0.60) homme (0.59) doctor (0.55) doctoresse (0.53) |
✔ | 0.05 |
| en | capital + city | capital city (0.94) | capital city (0.94) city (0.92) capital (0.92) metropolis (0.76) capitale (0.74) town (0.63) |
✔ | 0.02 |
| en | woman + doctor | doctor (0.87) | female doctor (0.87) woman (0.87) doctor (0.87) medicine (0.73) femme-médecin (0.72) doctoresse (0.71) |
✖ | |
| fr | femme + médecin | femme-médecin (0.93) | femme-médecin (0.93) médecin (0.84) femme (0.84) médecine (0.78) medicine (0.66) doctoresse (0.65) |
✔ | 0.09 |
| fr | roi + soleil | roi-soleil (0.92) | roi-soleil (0.92) soleil (0.83) roi (0.83) capitale (0.57) souverain (0.56) sovereign (0.55) |
✔ | 0.10 |
| fr | base + données | base de données (0.84) | base de données (0.84) base (0.84) données (0.84) système de gestion de base de données (0.66) database (0.62) database management system (0.55) |
✔ | 0.00 |
| en | database + management + system | database management system (0.85) | database management system (0.85) system (0.82) database (0.81) management (0.79) dbms (0.69) système de gestion de base de données (0.68) |
✔ | 0.03 |
| en | avg(king, queen, prince, princess) | monarch (0.84) | monarch (0.84) princesse (0.77) duke (0.68) sovereign (0.67) countess (0.67) viscount (0.60) |
✔ | 0.07 |
| fr | avg(roi, reine, prince, princesse) | monarque (0.48) | princess (0.79) queen (0.71) monarch (0.71) king (0.70) roi-soleil (0.68) duke (0.65) |
✖ | |
| en | avg(mysql, oracle, postgresql, mariadb) | database (0.78) | database (0.78) database management system (0.66) dbms (0.65) system (0.54) medicine (0.54) comptesse (0.53) |
✔ | 0.12 |
| en | avg(mysql, mariadb) | database (0.73) | database (0.73) postgresql (0.69) database management system (0.61) dbms (0.60) oracle (0.55) comptesse (0.50) |
✔ | 0.04 |
| en | avg(paris, london, berlin, madrid) | city (0.74) | city (0.74) metropolis (0.70) barcelona (0.69) frankfurt (0.66) germany (0.66) capital city (0.63) |
✔ | 0.03 |
| Term | Similarity |
|---|---|
| king | 1.00 |
| monarch | 0.80 |
| queen | 0.74 |
| prince | 0.71 |
| princess | 0.65 |
| sovereign | 0.64 |
| duke | 0.61 |
| princesse | 0.56 |
| viscount | 0.55 |
| man | 0.53 |
| Term | Similarity |
|---|---|
| roi | 1.00 |
| roi-soleil | 0.68 |
| king | 0.47 |
| sovereign | 0.47 |
| duc | 0.45 |
| capitale | 0.45 |
| monarch | 0.44 |
| database | 0.44 |
| angletterre | 0.44 |
| capital | 0.44 |
Time to compute vectorization examples: 1,9 s
| Title | Value |
|---|---|
| Model | mxbai-embed-large |
| Ollama link | https://ollama.com/library/mxbai-embed-large |
| Hugging Face link | https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1 |
| Architecture | bert |
| Parameters | 334M |
| Model size (disk) | 638,6 MB |
| Context length | 512 |
| Dimensions | 1024 |
| Quantization | F16 |
| Distinct token count | 30522 |
| Ollama model — last updated on | 06/05/2024 |
| Hugging Face model — created on | 07/03/2024 |
| Hugging Face model — last updated on | 23/01/2026 |
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | king - man + woman | queen (0.66) | woman (0.71) king (0.69) queen (0.66) princess (0.65) countess (0.59) princesse (0.58) |
✖ | |
| en | queen - woman + man | king (0.68) | man (0.72) queen (0.72) prince (0.71) king (0.68) monarch (0.62) duke (0.57) |
✖ | |
| fr | roi - homme + femme | reine (0.47) | roi (0.77) femme (0.65) princess (0.52) roi-soleil (0.52) woman (0.51) capital (0.50) |
✖ | |
| fr | reine - femme + homme | roi (0.48) | reine (0.78) homme (0.74) sovereign (0.58) vicomte (0.55) données (0.54) allemagne (0.54) |
✖ | |
| en | paris - france + germany | berlin (0.87) | berlin (0.87) germany (0.78) frankfurt (0.76) paris (0.76) london (0.70) madrid (0.69) |
✔ | 0.08 |
| fr | paris - france + allemagne | berlin (0.66) | allemagne (0.80) paris (0.69) berlin (0.66) madrid (0.64) metropolis (0.63) city (0.59) |
✖ | |
| en | paris - france + england | london (0.85) | london (0.85) england (0.78) paris (0.72) madrid (0.70) berlin (0.69) city (0.69) |
✔ | 0.06 |
| fr | paris - france + angletterre | londres (0.53) | angletterre (0.79) paris (0.61) madrid (0.60) barcelona (0.58) city (0.58) berlin (0.57) |
✖ | |
| fr | roi - homme + ville | capitale (0.47) | roi (0.76) ville (0.68) city (0.53) capital (0.52) roi-soleil (0.49) capital city (0.49) |
✖ | |
| en | king - man + city | capital city (0.61) | city (0.76) king (0.76) town (0.61) capital city (0.61) queen (0.58) capital (0.56) |
✖ | |
| fr | infirmier - homme + femme | infirmière (0.74) | infirmier (0.78) infirmière (0.74) femme (0.70) femme-médecin (0.65) countess (0.58) nurse (0.58) |
✖ | |
| fr | infirmière - femme + homme | infirmier (0.75) | infirmière (0.79) infirmier (0.75) homme (0.74) docteur (0.61) man (0.59) médecine (0.59) |
✖ | |
| fr | médecin - homme + femme | femme-médecin (0.81) | femme-médecin (0.81) médecin (0.78) médecine (0.70) femme (0.69) doctoresse (0.64) female doctor (0.63) |
✔ | 0.03 |
| fr | docteur - homme + femme | docteur (0.76) | docteur (0.76) femme (0.70) femme-médecin (0.67) doctoresse (0.65) female doctor (0.62) doctor (0.60) |
✔ | 0.07 |
| fr | doctoresse - femme + homme | docteur (0.67) | doctoresse (0.78) homme (0.74) médecine (0.70) doctor (0.67) docteur (0.67) médecin (0.64) |
✖ | |
| en | doctor - man + woman | female doctor (0.85) | female doctor (0.85) woman (0.78) doctor (0.73) doctoresse (0.73) femme-médecin (0.72) nurse (0.65) |
✔ | 0.07 |
| en | female doctor - woman + man | doctor (0.78) | doctor (0.78) man (0.73) female doctor (0.64) medicine (0.63) docteur (0.59) médecin (0.58) |
✔ | 0.05 |
| fr | médecine - femme + homme | médecine (0.80) | médecine (0.80) médecin (0.73) homme (0.71) medicine (0.60) doctoresse (0.60) doctor (0.58) |
✔ | 0.08 |
| en | capital + city | capital city (0.85) | city (0.92) capital (0.92) capital city (0.85) capitale (0.79) town (0.75) london (0.73) |
✖ | |
| en | woman + doctor | doctor (0.90) | woman (0.90) doctor (0.90) female doctor (0.82) doctoresse (0.79) femme-médecin (0.78) nurse (0.74) |
✖ | |
| fr | femme + médecin | femme-médecin (0.89) | femme-médecin (0.89) femme (0.88) médecin (0.88) médecine (0.84) doctoresse (0.80) infirmière (0.75) |
✔ | 0.01 |
| fr | roi + soleil | roi-soleil (0.87) | roi-soleil (0.87) soleil (0.86) roi (0.86) reine (0.68) sovereign (0.67) homme (0.65) |
✔ | 0.01 |
| fr | base + données | base de données (0.86) | base (0.87) données (0.87) base de données (0.86) homme (0.67) town (0.67) système de gestion de base de données (0.67) |
✖ | |
| en | database + management + system | database management system (0.81) | system (0.89) database (0.87) management (0.86) database management system (0.81) système de gestion de base de données (0.78) dbms (0.77) |
✖ | |
| en | avg(king, queen, prince, princess) | monarch (0.79) | monarch (0.79) princesse (0.76) duke (0.73) sovereign (0.72) england (0.68) london (0.67) |
✔ | 0.03 |
| fr | avg(roi, reine, prince, princesse) | monarque (0.58) | princess (0.82) sovereign (0.71) femme (0.70) duc (0.70) queen (0.69) doctoresse (0.69) |
✖ | |
| en | avg(mysql, oracle, postgresql, mariadb) | database (0.82) | database (0.82) dbms (0.79) database management system (0.75) system (0.67) base (0.63) compte (0.63) |
✔ | 0.03 |
| en | avg(mysql, mariadb) | database (0.80) | postgresql (0.83) database (0.80) dbms (0.76) database management system (0.75) oracle (0.73) system (0.63) |
✖ | |
| en | avg(paris, london, berlin, madrid) | city (0.80) | city (0.80) barcelona (0.79) frankfurt (0.76) capital city (0.75) londres (0.74) metropolis (0.73) |
✔ | 0.02 |
| Term | Similarity |
|---|---|
| king | 1.00 |
| prince | 0.71 |
| monarch | 0.69 |
| queen | 0.69 |
| duke | 0.66 |
| city | 0.64 |
| man | 0.63 |
| sovereign | 0.63 |
| count | 0.62 |
| princess | 0.61 |
| Term | Similarity |
|---|---|
| roi | 1.00 |
| roi-soleil | 0.68 |
| capital | 0.61 |
| compte | 0.59 |
| management | 0.58 |
| duc | 0.57 |
| system | 0.56 |
| oracle | 0.56 |
| database | 0.56 |
| sovereign | 0.55 |
Time to compute vectorization examples: 6,6 s
| Title | Value |
|---|---|
| Model | embeddinggemma |
| Ollama link | https://ollama.com/library/embeddinggemma |
| Hugging Face link | https://huggingface.co/google/embeddinggemma-300m |
| Architecture | gemma3 |
| Parameters | 307.58M |
| Model size (disk) | 593,1 MB |
| Context length | 2048 |
| Dimensions | 768 |
| Quantization | BF16 |
| Distinct token count | 262144 |
| Ollama model — last updated on | 09/09/2025 |
| Hugging Face model — created on | 17/07/2025 |
| Hugging Face model — last updated on | 25/09/2025 |
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | king - man + woman | queen (0.70) | king (0.76) queen (0.70) reine (0.66) woman (0.66) femme (0.59) princess (0.57) |
✖ | |
| en | queen - woman + man | king (0.72) | queen (0.78) king (0.72) man (0.70) reine (0.69) monarch (0.69) monarque (0.65) |
✖ | |
| fr | roi - homme + femme | reine (0.62) | roi (0.77) femme (0.69) reine (0.62) femme-médecin (0.58) roi-soleil (0.57) female doctor (0.56) |
✖ | |
| fr | reine - femme + homme | roi (0.59) | reine (0.75) homme (0.67) king (0.66) monarch (0.64) man (0.63) queen (0.63) |
✖ | |
| en | paris - france + germany | berlin (0.72) | germany (0.75) paris (0.73) berlin (0.72) london (0.61) frankfurt (0.60) city (0.57) |
✖ | |
| fr | paris - france + allemagne | berlin (0.54) | allemagne (0.76) paris (0.65) capitale (0.55) berlin (0.54) london (0.52) madrid (0.51) |
✖ | |
| en | paris - france + england | london (0.68) | england (0.75) paris (0.70) london (0.68) londres (0.57) berlin (0.55) madrid (0.55) |
✖ | |
| fr | paris - france + angletterre | londres (0.56) | angletterre (0.76) paris (0.66) london (0.58) londres (0.56) capitale (0.52) berlin (0.51) |
✖ | |
| fr | roi - homme + ville | capitale (0.52) | ville (0.76) roi (0.74) reine (0.58) roi-soleil (0.58) town (0.56) vicomte (0.55) |
✖ | |
| en | king - man + city | capital city (0.63) | city (0.73) king (0.73) capital city (0.63) town (0.57) metropolis (0.55) queen (0.55) |
✖ | |
| fr | infirmier - homme + femme | infirmière (0.81) | infirmière (0.81) infirmier (0.78) nurse (0.72) femme-médecin (0.72) femme (0.67) female doctor (0.67) |
✔ | 0.03 |
| fr | infirmière - femme + homme | infirmier (0.76) | infirmier (0.76) infirmière (0.73) homme (0.68) nurse (0.68) man (0.62) médecin (0.54) |
✔ | 0.03 |
| fr | médecin - homme + femme | femme-médecin (0.84) | femme-médecin (0.84) female doctor (0.81) médecin (0.77) médecine (0.73) femme (0.71) doctor (0.69) |
✔ | 0.04 |
| fr | docteur - homme + femme | docteur (0.77) | docteur (0.77) femme-médecin (0.77) female doctor (0.76) doctor (0.67) femme (0.66) médecin (0.66) |
✔ | 0.00 |
| fr | doctoresse - femme + homme | docteur (0.61) | doctoresse (0.76) doctor (0.62) docteur (0.61) homme (0.61) man (0.59) médecin (0.58) |
✖ | |
| en | doctor - man + woman | female doctor (0.86) | female doctor (0.86) doctor (0.78) femme-médecin (0.78) woman (0.73) médecin (0.70) docteur (0.68) |
✔ | 0.07 |
| en | female doctor - woman + man | doctor (0.81) | doctor (0.81) médecin (0.78) docteur (0.74) man (0.74) female doctor (0.72) doctoresse (0.69) |
✔ | 0.03 |
| fr | médecine - femme + homme | médecine (0.77) | médecine (0.77) medicine (0.75) médecin (0.72) homme (0.68) doctor (0.65) man (0.61) |
✔ | 0.01 |
| en | capital + city | capital city (0.90) | capital city (0.90) capital (0.90) city (0.90) capitale (0.85) metropolis (0.80) town (0.76) |
✔ | 0.01 |
| en | woman + doctor | doctor (0.90) | doctor (0.90) woman (0.90) female doctor (0.84) médecin (0.81) femme (0.81) femme-médecin (0.78) |
✔ | 0.00 |
| fr | femme + médecin | femme-médecin (0.86) | médecin (0.88) femme (0.88) femme-médecin (0.86) doctor (0.83) female doctor (0.83) médecine (0.82) |
✖ | |
| fr | roi + soleil | roi-soleil (0.86) | roi (0.89) soleil (0.89) roi-soleil (0.86) ville (0.70) vicomte (0.69) sgbd (0.69) |
✖ | |
| fr | base + données | base de données (0.79) | base (0.88) données (0.88) base de données (0.79) database (0.79) dbms (0.74) mysql (0.70) |
✖ | |
| en | database + management + system | database management system (0.85) | database management system (0.85) dbms (0.84) system (0.84) database (0.84) management (0.83) système de gestion de base de données (0.77) |
✔ | 0.01 |
| en | avg(king, queen, prince, princess) | monarch (0.78) | princesse (0.84) reine (0.84) monarch (0.78) duke (0.75) monarque (0.74) roi (0.71) |
✖ | |
| fr | avg(roi, reine, prince, princesse) | monarque (0.72) | princess (0.90) queen (0.77) duke (0.75) monarch (0.74) king (0.73) monarque (0.72) |
✖ | |
| en | avg(mysql, oracle, postgresql, mariadb) | database (0.82) | dbms (0.87) database (0.82) base de données (0.74) database management system (0.72) sgbd (0.71) duc (0.66) |
✖ | |
| en | avg(mysql, mariadb) | database (0.80) | dbms (0.84) database (0.80) postgresql (0.78) oracle (0.73) base de données (0.72) database management system (0.69) |
✖ | |
| en | avg(paris, london, berlin, madrid) | city (0.70) | londres (0.84) frankfurt (0.77) capitale (0.74) barcelona (0.72) barcelone (0.72) city (0.70) |
✖ |
| Term | Similarity |
|---|---|
| king | 1.00 |
| monarch | 0.74 |
| queen | 0.73 |
| reine | 0.73 |
| monarque | 0.73 |
| roi | 0.66 |
| duke | 0.64 |
| princess | 0.63 |
| prince | 0.62 |
| man | 0.60 |
| Term | Similarity |
|---|---|
| roi | 1.00 |
| roi-soleil | 0.72 |
| reine | 0.71 |
| king | 0.66 |
| monarch | 0.66 |
| duke | 0.65 |
| vicomte | 0.65 |
| duc | 0.65 |
| monarque | 0.64 |
| ville | 0.63 |
Time to compute vectorization examples: 9,3 s
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | King - Man + Woman | Queen (0.66) | King (0.77) Reine (0.67) Queen (0.66) Woman (0.65) Roi (0.62) Femme (0.55) |
✖ | |
| en | Queen - Woman + Man | King (0.66) | Queen (0.78) Man (0.70) Monarch (0.68) King (0.66) Roi (0.66) Reine (0.65) |
✖ | |
| fr | Roi - Homme + Femme | Reine (0.70) | Roi (0.73) Reine (0.70) Femme (0.67) Roi-soleil (0.61) Queen (0.59) King (0.59) |
✖ | |
| fr | Reine - Femme + Homme | Roi (0.71) | Reine (0.74) Roi (0.71) Homme (0.66) Monarch (0.66) King (0.65) Queen (0.63) |
✖ | |
| en | Paris - France + Germany | Berlin (0.73) | Germany (0.77) Allemagne (0.73) Berlin (0.73) Paris (0.73) London (0.60) Madrid (0.59) |
✖ | |
| fr | Paris - France + Allemagne | Berlin (0.73) | Allemagne (0.77) Germany (0.73) Berlin (0.73) Paris (0.72) London (0.60) Madrid (0.59) |
✖ | |
| en | Paris - France + England | London (0.68) | England (0.78) Paris (0.70) London (0.68) Londres (0.60) Madrid (0.59) Berlin (0.58) |
✖ | |
| fr | Paris - France + Angletterre | Londres (0.48) | Angletterre (0.79) Paris (0.63) London (0.54) Capitale (0.53) Berlin (0.50) Londres (0.48) |
✖ | |
| fr | Roi - Homme + Ville | Capitale (0.51) | Ville (0.75) Roi (0.70) Reine (0.61) City (0.61) Town (0.58) Roi-soleil (0.58) |
✖ | |
| en | King - Man + City | Capital city (0.58) | City (0.72) King (0.72) Roi (0.60) Capital city (0.58) Ville (0.58) Town (0.56) |
✖ | |
| fr | Infirmier - Homme + Femme | Infirmière (0.79) | Infirmière (0.79) Infirmier (0.76) Nurse (0.71) Femme-médecin (0.69) Femme (0.68) Female doctor (0.67) |
✔ | 0.03 |
| fr | Infirmière - Femme + Homme | Infirmier (0.76) | Infirmier (0.76) Infirmière (0.73) Homme (0.68) Nurse (0.67) Man (0.60) Médecin (0.52) |
✔ | 0.04 |
| fr | Médecin - Homme + Femme | Femme-médecin (0.83) | Femme-médecin (0.83) Female doctor (0.80) Médecin (0.76) Femme (0.70) Docteur (0.67) Médecine (0.66) |
✔ | 0.03 |
| fr | Docteur - Homme + Femme | Docteur (0.76) | Female doctor (0.79) Femme-médecin (0.77) Docteur (0.76) Femme (0.67) Médecin (0.67) Doctoresse (0.66) |
✖ | |
| fr | Doctoresse - Femme + Homme | Docteur (0.67) | Doctoresse (0.77) Docteur (0.67) Doctor (0.66) Homme (0.63) Médecin (0.60) Man (0.57) |
✖ | |
| en | Doctor - Man + Woman | Female doctor (0.81) | Female doctor (0.81) Doctor (0.79) Femme-médecin (0.75) Woman (0.72) Docteur (0.70) Médecin (0.67) |
✔ | 0.02 |
| en | Female doctor - Woman + Man | Doctor (0.75) | Doctor (0.75) Docteur (0.75) Médecin (0.74) Female doctor (0.72) Man (0.70) Doctoresse (0.68) |
✔ | 0.00 |
| fr | Médecine - Femme + Homme | Médecine (0.77) | Médecine (0.77) Medicine (0.74) Homme (0.68) Médecin (0.67) Man (0.58) Doctor (0.56) |
✔ | 0.02 |
| en | Capital + City | Capital city (0.88) | City (0.90) Capital (0.90) Capital city (0.88) Capitale (0.85) Ville (0.78) Town (0.74) |
✖ | |
| en | Woman + Doctor | Doctor (0.90) | Doctor (0.90) Woman (0.90) Female doctor (0.79) Docteur (0.78) Femme (0.77) Médecin (0.76) |
✔ | 0.00 |
| fr | Femme + Médecin | Femme-médecin (0.85) | Médecin (0.88) Femme (0.88) Femme-médecin (0.85) Female doctor (0.82) Docteur (0.80) Doctor (0.79) |
✖ | |
| fr | Roi + Soleil | Roi-soleil (0.88) | Roi-soleil (0.88) Soleil (0.87) Roi (0.87) Reine (0.75) King (0.74) Monarch (0.73) |
✔ | 0.01 |
| fr | Base + Données | Base de données (0.78) | Données (0.89) Base (0.89) Database (0.79) Base de données (0.78) Dbms (0.76) Mysql (0.67) |
✖ | |
| en | Database + Management + System | Database management system (0.85) | Database management system (0.85) System (0.85) Management (0.84) Database (0.84) Dbms (0.84) Système de gestion de base de données (0.77) |
✔ | 0.00 |
| en | avg(King, Queen, Prince, Princess) | Monarch (0.78) | Reine (0.84) Princesse (0.83) Roi (0.79) Monarch (0.78) Countess (0.71) Monarque (0.70) |
✖ | |
| fr | avg(Roi, Reine, Prince, Princesse) | Monarque (0.71) | Princess (0.89) Queen (0.79) Monarch (0.77) King (0.76) Monarque (0.71) Countess (0.70) |
✖ | |
| en | avg(Mysql, Oracle, Postgresql, Mariadb) | Database (0.81) | Dbms (0.83) Database (0.81) Base de données (0.74) Database management system (0.70) Sgbd (0.67) Données (0.66) |
✖ | |
| en | avg(Mysql, Mariadb) | Database (0.80) | Dbms (0.82) Database (0.80) Postgresql (0.74) Base de données (0.74) Oracle (0.71) Database management system (0.69) |
✖ | |
| en | avg(Paris, London, Berlin, Madrid) | City (0.70) | Londres (0.81) Capitale (0.74) Frankfurt (0.74) Barcelona (0.70) Barcelone (0.70) City (0.70) |
✖ |
| Term | Similarity |
|---|---|
| King | 1.00 |
| Roi | 0.83 |
| Reine | 0.71 |
| Monarch | 0.71 |
| Queen | 0.69 |
| Roi-soleil | 0.65 |
| Monarque | 0.62 |
| Prince | 0.62 |
| Duke | 0.60 |
| Princess | 0.58 |
| Term | Similarity |
|---|---|
| Roi | 1.00 |
| King | 0.83 |
| Roi-soleil | 0.79 |
| Reine | 0.79 |
| Monarch | 0.74 |
| Queen | 0.68 |
| Monarque | 0.67 |
| Prince | 0.64 |
| Princess | 0.61 |
| Sovereign | 0.60 |
Time to compute vectorization examples: 6,5 s
| Title | Value |
|---|---|
| Model | granite-embedding:278m |
| Ollama link | https://ollama.com/library/granite-embedding%3A278m |
| Hugging Face link | https://huggingface.co/ibm-granite/granite-embedding-278m-multilingual |
| Architecture | bert |
| Parameters | 277.45M |
| Model size (disk) | 536,7 MB |
| Context length | 512 |
| Dimensions | 768 |
| Quantization | F16 |
| Distinct token count | 250002 |
| Ollama model — last updated on | 18/12/2024 |
| Hugging Face model — created on | 04/12/2024 |
| Hugging Face model — last updated on | 19/08/2025 |
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | king - man + woman | queen (0.87) | queen (0.87) king (0.83) princess (0.79) princesse (0.79) roi (0.78) monarch (0.76) |
✔ | 0.03 |
| en | queen - woman + man | king (0.86) | king (0.86) roi (0.83) queen (0.82) prince (0.82) monarque (0.81) monarch (0.80) |
✔ | 0.03 |
| fr | roi - homme + femme | reine (0.77) | roi (0.86) queen (0.84) princess (0.83) princesse (0.82) monarque (0.79) monarch (0.79) |
✖ | |
| fr | reine - femme + homme | roi (0.77) | reine (0.86) roi (0.77) homme (0.76) prince (0.76) man (0.76) king (0.75) |
✖ | |
| en | paris - france + germany | berlin (0.80) | germany (0.87) paris (0.80) berlin (0.80) metropolis (0.74) capitale (0.71) city (0.70) |
✖ | |
| fr | paris - france + allemagne | berlin (0.64) | allemagne (0.87) metropolis (0.71) paris (0.69) capitale (0.65) madrid (0.65) berlin (0.64) |
✖ | |
| en | paris - france + england | london (0.82) | england (0.86) london (0.82) londres (0.79) paris (0.77) metropolis (0.72) madrid (0.71) |
✖ | |
| fr | paris - france + angletterre | londres (0.66) | angletterre (0.87) paris (0.73) metropolis (0.69) capitale (0.68) capital (0.67) comptesse (0.67) |
✖ | |
| fr | roi - homme + ville | capitale (0.73) | ville (0.79) city (0.78) roi (0.78) capital city (0.74) monarque (0.73) capitale (0.73) |
✖ | |
| en | king - man + city | capital city (0.75) | city (0.80) king (0.79) ville (0.77) roi (0.75) capital city (0.75) capitale (0.71) |
✖ | |
| fr | infirmier - homme + femme | infirmière (0.93) | infirmière (0.93) infirmier (0.87) nurse (0.83) female doctor (0.83) femme-médecin (0.82) doctoresse (0.74) |
✔ | 0.05 |
| fr | infirmière - femme + homme | infirmier (0.91) | infirmier (0.91) infirmière (0.85) docteur (0.84) doctor (0.82) médecin (0.81) médecine (0.78) |
✔ | 0.06 |
| fr | médecin - homme + femme | femme-médecin (0.88) | female doctor (0.89) femme-médecin (0.88) médecin (0.86) médecine (0.85) infirmière (0.83) medicine (0.82) |
✖ | |
| fr | docteur - homme + femme | docteur (0.86) | female doctor (0.90) docteur (0.86) infirmière (0.86) femme-médecin (0.85) doctoresse (0.83) doctor (0.81) |
✖ | |
| fr | doctoresse - femme + homme | docteur (0.83) | doctoresse (0.86) doctor (0.84) docteur (0.83) médecin (0.80) médecine (0.80) medicine (0.77) |
✖ | |
| en | doctor - man + woman | female doctor (0.91) | female doctor (0.91) doctor (0.84) doctoresse (0.84) femme-médecin (0.83) infirmière (0.82) docteur (0.81) |
✔ | 0.06 |
| en | female doctor - woman + man | doctor (0.89) | doctor (0.89) médecin (0.87) docteur (0.87) female doctor (0.82) médecine (0.82) medicine (0.80) |
✔ | 0.02 |
| fr | médecine - femme + homme | médecine (0.87) | médecine (0.87) médecin (0.86) medicine (0.85) doctor (0.81) docteur (0.78) homme (0.76) |
✔ | 0.01 |
| en | capital + city | capital city (0.98) | capital city (0.98) capitale (0.96) capital (0.96) city (0.96) ville (0.94) town (0.86) |
✔ | 0.01 |
| en | woman + doctor | doctor (0.92) | woman (0.92) doctor (0.92) femme (0.91) female doctor (0.90) docteur (0.89) médecin (0.88) |
✖ | |
| fr | femme + médecin | femme-médecin (0.90) | médecin (0.92) femme (0.92) médecine (0.91) woman (0.90) femme-médecin (0.90) medicine (0.90) |
✖ | |
| fr | roi + soleil | roi-soleil (0.93) | roi-soleil (0.93) roi (0.91) soleil (0.91) king (0.86) souverain (0.86) monarque (0.85) |
✔ | 0.02 |
| fr | base + données | base de données (0.92) | base (0.92) données (0.92) base de données (0.92) database (0.87) mysql (0.79) compte (0.78) |
✖ | |
| en | database + management + system | database management system (0.88) | management (0.90) system (0.90) database (0.90) database management system (0.88) base de données (0.88) système de gestion de base de données (0.86) |
✖ | |
| en | avg(king, queen, prince, princess) | monarch (0.90) | princesse (0.93) roi (0.91) monarch (0.90) monarque (0.89) souverain (0.87) roi-soleil (0.83) |
✖ | |
| fr | avg(roi, reine, prince, princesse) | monarque (0.90) | princess (0.93) monarque (0.90) monarch (0.88) king (0.87) queen (0.87) souverain (0.87) |
✖ | |
| en | avg(mysql, oracle, postgresql, mariadb) | database (0.88) | database (0.88) base de données (0.86) données (0.80) dbms (0.80) compte (0.79) comptesse (0.78) |
✔ | 0.01 |
| en | avg(mysql, mariadb) | database (0.83) | database (0.83) base de données (0.82) madrid (0.81) dbms (0.78) postgresql (0.77) données (0.77) |
✔ | 0.01 |
| en | avg(paris, london, berlin, madrid) | city (0.87) | barcelone (0.87) city (0.87) ville (0.86) capitale (0.86) barcelona (0.86) metropolis (0.86) |
✖ |
| Term | Similarity |
|---|---|
| king | 1.00 |
| roi | 0.92 |
| monarch | 0.85 |
| monarque | 0.85 |
| prince | 0.84 |
| souverain | 0.80 |
| queen | 0.80 |
| roi-soleil | 0.80 |
| duc | 0.78 |
| duke | 0.77 |
| Term | Similarity |
|---|---|
| roi | 1.00 |
| king | 0.92 |
| monarque | 0.90 |
| monarch | 0.88 |
| prince | 0.87 |
| roi-soleil | 0.87 |
| souverain | 0.85 |
| princess | 0.80 |
| queen | 0.79 |
| duc | 0.79 |
Time to compute vectorization examples: 10,0 s
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | King - Man + Woman | Queen (0.86) | Queen (0.86) King (0.83) Countess (0.78) Princess (0.76) Princesse (0.75) Reine (0.75) |
✔ | 0.03 |
| en | Queen - Woman + Man | King (0.86) | King (0.86) Queen (0.83) Prince (0.80) Monarch (0.78) Roi (0.78) Man (0.76) |
✔ | 0.03 |
| fr | Roi - Homme + Femme | Reine (0.80) | Roi (0.85) Queen (0.80) Reine (0.80) Princess (0.77) Princesse (0.76) Countess (0.73) |
✖ | |
| fr | Reine - Femme + Homme | Roi (0.79) | Reine (0.85) Roi (0.79) Homme (0.78) Prince (0.78) King (0.78) Man (0.76) |
✖ | |
| en | Paris - France + Germany | Berlin (0.83) | Germany (0.86) Berlin (0.83) Allemagne (0.82) Paris (0.81) Metropolis (0.74) City (0.73) |
✖ | |
| fr | Paris - France + Allemagne | Berlin (0.84) | Allemagne (0.86) Berlin (0.84) Germany (0.84) Paris (0.79) Metropolis (0.72) Capital city (0.72) |
✖ | |
| en | Paris - France + England | London (0.86) | London (0.86) England (0.86) Londres (0.86) Paris (0.76) City (0.73) Madrid (0.71) |
✔ | 0.00 |
| fr | Paris - France + Angletterre | Londres (0.64) | Angletterre (0.87) Paris (0.72) Capitale (0.69) Ville (0.68) Metropolis (0.68) Capital (0.67) |
✖ | |
| fr | Roi - Homme + Ville | Capitale (0.64) | Roi (0.79) Ville (0.78) City (0.75) Roi-soleil (0.72) Capital city (0.70) Town (0.68) |
✖ | |
| en | King - Man + City | Capital city (0.73) | City (0.79) King (0.79) Capital city (0.73) Queen (0.72) Ville (0.71) Capitale (0.68) |
✖ | |
| fr | Infirmier - Homme + Femme | Infirmière (0.94) | Infirmière (0.94) Infirmier (0.86) Female doctor (0.83) Nurse (0.82) Femme-médecin (0.81) Doctoresse (0.76) |
✔ | 0.07 |
| fr | Infirmière - Femme + Homme | Infirmier (0.93) | Infirmier (0.93) Infirmière (0.85) Docteur (0.83) Doctor (0.80) Médecin (0.80) Médecine (0.77) |
✔ | 0.08 |
| fr | Médecin - Homme + Femme | Femme-médecin (0.89) | Femme-médecin (0.89) Médecine (0.87) Médecin (0.86) Female doctor (0.86) Infirmière (0.82) Nurse (0.81) |
✔ | 0.02 |
| fr | Docteur - Homme + Femme | Docteur (0.86) | Female doctor (0.90) Docteur (0.86) Femme-médecin (0.85) Infirmière (0.84) Doctoresse (0.84) Nurse (0.82) |
✖ | |
| fr | Doctoresse - Femme + Homme | Docteur (0.84) | Doctor (0.86) Doctoresse (0.86) Docteur (0.84) Médecin (0.78) Médecine (0.78) Medicine (0.77) |
✖ | |
| en | Doctor - Man + Woman | Female doctor (0.88) | Female doctor (0.88) Doctoresse (0.85) Doctor (0.84) Docteur (0.83) Femme-médecin (0.81) Infirmière (0.80) |
✔ | 0.03 |
| en | Female doctor - Woman + Man | Doctor (0.86) | Doctor (0.86) Docteur (0.84) Médecin (0.83) Female doctor (0.81) Médecine (0.81) Medicine (0.78) |
✔ | 0.01 |
| fr | Médecine - Femme + Homme | Médecine (0.87) | Médecin (0.87) Médecine (0.87) Medicine (0.81) Docteur (0.80) Doctor (0.80) Homme (0.75) |
✖ | |
| en | Capital + City | Capital city (0.96) | Capital city (0.96) City (0.95) Capital (0.95) Capitale (0.95) Ville (0.90) Town (0.85) |
✔ | 0.01 |
| en | Woman + Doctor | Doctor (0.91) | Doctor (0.91) Woman (0.91) Docteur (0.90) Doctoresse (0.87) Femme (0.87) Female doctor (0.86) |
✔ | 0.00 |
| fr | Femme + Médecin | Femme-médecin (0.91) | Médecine (0.92) Femme (0.92) Médecin (0.92) Femme-médecin (0.91) Woman (0.88) Medicine (0.87) |
✖ | |
| fr | Roi + Soleil | Roi-soleil (0.89) | Roi (0.92) Soleil (0.92) Roi-soleil (0.89) Reine (0.81) Monarch (0.80) Souverain (0.80) |
✖ | |
| fr | Base + Données | Base de données (0.91) | Données (0.93) Base (0.93) Base de données (0.91) Database (0.87) System (0.79) Compte (0.77) |
✖ | |
| en | Database + Management + System | Database management system (0.87) | System (0.91) Database (0.91) Management (0.90) Base de données (0.88) Database management system (0.87) Mysql (0.84) |
✖ | |
| en | avg(King, Queen, Prince, Princess) | Monarch (0.87) | Princesse (0.91) Monarch (0.87) Reine (0.85) Souverain (0.84) Roi (0.84) Viscount (0.82) |
✖ | |
| fr | avg(Roi, Reine, Prince, Princesse) | Monarque (0.82) | Princess (0.93) Queen (0.86) Monarch (0.85) Souverain (0.84) King (0.84) Roi-soleil (0.82) |
✖ | |
| en | avg(Mysql, Oracle, Postgresql, Mariadb) | Database (0.88) | Database (0.88) Base de données (0.86) Données (0.79) Database management system (0.78) Compte (0.77) System (0.77) |
✔ | 0.02 |
| en | avg(Mysql, Mariadb) | Database (0.86) | Database (0.86) Base de données (0.84) Postgresql (0.78) Madrid (0.76) Database management system (0.76) Données (0.76) |
✔ | 0.02 |
| en | avg(Paris, London, Berlin, Madrid) | City (0.86) | Londres (0.89) City (0.86) Ville (0.85) Barcelona (0.85) Metropolis (0.84) Capitale (0.84) |
✖ |
| Term | Similarity |
|---|---|
| King | 1.00 |
| Roi | 0.82 |
| Queen | 0.82 |
| Monarch | 0.81 |
| Prince | 0.80 |
| Souverain | 0.78 |
| Duke | 0.76 |
| Monarque | 0.75 |
| Viscount | 0.75 |
| Princess | 0.74 |
| Term | Similarity |
|---|---|
| Roi | 1.00 |
| Roi-soleil | 0.85 |
| King | 0.82 |
| Monarch | 0.80 |
| Reine | 0.78 |
| Prince | 0.77 |
| Souverain | 0.77 |
| Queen | 0.77 |
| Monarque | 0.76 |
| Princess | 0.74 |
Time to compute vectorization examples: 7,1 s
| Title | Value |
|---|---|
| Model | bge-m3 |
| Ollama link | https://ollama.com/library/bge-m3 |
| Hugging Face link | https://huggingface.co/BAAI/bge-m3 |
| Architecture | bert |
| Parameters | 566.70M |
| Model size (disk) | 1,1 GB |
| Context length | 8192 |
| Dimensions | 1024 |
| Quantization | F16 |
| Distinct token count | 250002 |
| Ollama model — last updated on | 07/08/2024 |
| Hugging Face model — created on | 27/01/2024 |
| Hugging Face model — last updated on | 03/07/2024 |
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | king - man + woman | queen (0.78) | queen (0.78) king (0.72) woman (0.69) princess (0.67) femme (0.64) princesse (0.61) |
✔ | 0.05 |
| en | queen - woman + man | king (0.74) | man (0.74) king (0.74) queen (0.68) homme (0.64) monarch (0.63) roi (0.60) |
✖ | |
| fr | roi - homme + femme | reine (0.67) | roi (0.74) queen (0.69) reine (0.67) femme (0.66) woman (0.61) princess (0.60) |
✖ | |
| fr | reine - femme + homme | roi (0.62) | reine (0.71) homme (0.67) man (0.62) roi (0.62) king (0.56) prince (0.53) |
✖ | |
| en | paris - france + germany | berlin (0.73) | germany (0.80) paris (0.74) berlin (0.73) allemagne (0.68) londres (0.62) city (0.62) |
✖ | |
| fr | paris - france + allemagne | berlin (0.72) | allemagne (0.79) paris (0.75) berlin (0.72) germany (0.69) londres (0.63) barcelone (0.61) |
✖ | |
| en | paris - france + england | london (0.77) | england (0.80) london (0.77) paris (0.73) londres (0.71) madrid (0.58) city (0.57) |
✖ | |
| fr | paris - france + angletterre | londres (0.54) | angletterre (0.82) paris (0.57) londres (0.54) london (0.53) city (0.42) barcelone (0.42) |
✖ | |
| fr | roi - homme + ville | capitale (0.36) | ville (0.71) roi (0.70) reine (0.56) roi-soleil (0.52) king (0.48) queen (0.48) |
✖ | |
| en | king - man + city | capital city (0.63) | king (0.78) city (0.73) queen (0.66) capital city (0.63) roi (0.60) monarch (0.57) |
✖ | |
| fr | infirmier - homme + femme | infirmière (0.84) | infirmière (0.84) infirmier (0.80) femme-médecin (0.72) femme (0.71) female doctor (0.69) nurse (0.68) |
✔ | 0.03 |
| fr | infirmière - femme + homme | infirmier (0.74) | homme (0.74) infirmier (0.74) infirmière (0.70) man (0.68) médecin (0.65) docteur (0.61) |
✖ | |
| fr | médecin - homme + femme | femme-médecin (0.81) | femme-médecin (0.81) female doctor (0.80) médecin (0.74) femme (0.71) infirmière (0.70) woman (0.68) |
✔ | 0.01 |
| fr | docteur - homme + femme | docteur (0.73) | female doctor (0.79) doctoresse (0.75) femme-médecin (0.75) femme (0.73) docteur (0.73) doctor (0.68) |
✖ | |
| fr | doctoresse - femme + homme | docteur (0.72) | docteur (0.72) homme (0.70) doctoresse (0.69) doctor (0.68) man (0.62) médecin (0.61) |
✔ | 0.02 |
| en | doctor - man + woman | female doctor (0.85) | female doctor (0.85) woman (0.76) doctor (0.74) doctoresse (0.74) femme-médecin (0.74) femme (0.68) |
✔ | 0.08 |
| en | female doctor - woman + man | doctor (0.78) | man (0.79) doctor (0.78) médecin (0.76) docteur (0.73) female doctor (0.66) homme (0.65) |
✖ | |
| fr | médecine - femme + homme | médecine (0.76) | médecine (0.76) médecin (0.70) homme (0.69) medicine (0.67) docteur (0.62) man (0.62) |
✔ | 0.06 |
| en | capital + city | capital city (0.93) | capital city (0.93) city (0.92) capital (0.92) capitale (0.86) métropole (0.73) town (0.73) |
✔ | 0.01 |
| en | woman + doctor | doctor (0.90) | woman (0.90) doctor (0.90) female doctor (0.87) femme-médecin (0.81) médecin (0.79) femme (0.79) |
✖ | |
| fr | femme + médecin | femme-médecin (0.87) | médecin (0.87) femme (0.87) femme-médecin (0.87) female doctor (0.81) doctor (0.81) woman (0.81) |
✖ | |
| fr | roi + soleil | roi-soleil (0.83) | soleil (0.87) roi (0.87) roi-soleil (0.83) king (0.69) city (0.66) souverain (0.64) |
✖ | |
| fr | base + données | base de données (0.86) | données (0.89) base (0.89) base de données (0.86) database (0.80) compte (0.68) mysql (0.64) |
✖ | |
| en | database + management + system | database management system (0.81) | database (0.87) management (0.86) system (0.85) database management system (0.81) base de données (0.79) système de gestion de base de données (0.73) |
✖ | |
| en | avg(king, queen, prince, princess) | monarch (0.74) | princesse (0.83) monarch (0.74) roi (0.70) monarque (0.70) reine (0.68) city (0.68) |
✖ | |
| fr | avg(roi, reine, prince, princesse) | monarque (0.68) | princess (0.84) queen (0.75) king (0.75) monarque (0.68) monarch (0.67) city (0.66) |
✖ | |
| en | avg(mysql, oracle, postgresql, mariadb) | database (0.76) | database (0.76) base de données (0.76) données (0.68) database management system (0.67) management (0.67) compte (0.66) |
✔ | 0.00 |
| en | avg(mysql, mariadb) | database (0.69) | database (0.69) base de données (0.68) postgresql (0.66) madrid (0.65) management (0.62) database management system (0.62) |
✔ | 0.01 |
| en | avg(paris, london, berlin, madrid) | city (0.78) | londres (0.88) barcelone (0.81) barcelona (0.80) city (0.78) france (0.76) england (0.73) |
✖ |
| Term | Similarity |
|---|---|
| king | 1.00 |
| monarch | 0.75 |
| roi | 0.73 |
| queen | 0.71 |
| prince | 0.68 |
| monarque | 0.65 |
| city | 0.61 |
| man | 0.59 |
| doctor | 0.58 |
| london | 0.58 |
| Term | Similarity |
|---|---|
| roi | 1.00 |
| roi-soleil | 0.75 |
| king | 0.73 |
| reine | 0.66 |
| monarch | 0.64 |
| queen | 0.60 |
| city | 0.60 |
| monarque | 0.59 |
| prince | 0.57 |
| capital city | 0.55 |
Time to compute vectorization examples: 12,4 s
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | King - Man + Woman | Queen (0.68) | King (0.76) Queen (0.68) Woman (0.64) Reine (0.59) Princess (0.58) Countess (0.56) |
✖ | |
| en | Queen - Woman + Man | King (0.64) | Queen (0.73) King (0.64) Man (0.64) Homme (0.58) Monarch (0.54) Prince (0.54) |
✖ | |
| fr | Roi - Homme + Femme | Reine (0.52) | Roi (0.76) Femme (0.64) Roi-soleil (0.59) Femme-médecin (0.56) Queen (0.55) Princess (0.52) |
✖ | |
| fr | Reine - Femme + Homme | Roi (0.50) | Reine (0.75) Homme (0.63) Man (0.59) King (0.57) Prince (0.53) Roi (0.50) |
✖ | |
| en | Paris - France + Germany | Berlin (0.76) | Germany (0.81) Berlin (0.76) Allemagne (0.76) Paris (0.71) London (0.62) Frankfurt (0.62) |
✖ | |
| fr | Paris - France + Allemagne | Berlin (0.75) | Allemagne (0.81) Germany (0.77) Berlin (0.75) Paris (0.71) Frankfurt (0.63) London (0.63) |
✖ | |
| en | Paris - France + England | London (0.78) | England (0.82) Londres (0.79) London (0.78) Paris (0.69) Madrid (0.59) Barcelona (0.57) |
✖ | |
| fr | Paris - France + Angletterre | Londres (0.52) | Angletterre (0.83) Londres (0.52) Paris (0.51) London (0.50) Capital city (0.43) Capitale (0.42) |
✖ | |
| fr | Roi - Homme + Ville | Capitale (0.40) | Roi (0.74) Ville (0.68) Roi-soleil (0.55) City (0.51) King (0.48) Reine (0.48) |
✖ | |
| en | King - Man + City | Capital city (0.49) | King (0.74) City (0.73) Queen (0.54) Ville (0.51) Capital city (0.49) Reine (0.47) |
✖ | |
| fr | Infirmier - Homme + Femme | Infirmière (0.86) | Infirmière (0.86) Infirmier (0.77) Femme-médecin (0.73) Femme (0.71) Nurse (0.65) Female doctor (0.61) |
✔ | 0.09 |
| fr | Infirmière - Femme + Homme | Infirmier (0.83) | Infirmier (0.83) Homme (0.73) Infirmière (0.73) Man (0.68) Doctor (0.59) Nurse (0.57) |
✔ | 0.09 |
| fr | Médecin - Homme + Femme | Femme-médecin (0.81) | Femme-médecin (0.81) Médecin (0.78) Médecine (0.75) Femme (0.72) Infirmière (0.63) Doctoresse (0.60) |
✔ | 0.03 |
| fr | Docteur - Homme + Femme | Docteur (0.76) | Docteur (0.76) Doctoresse (0.73) Femme-médecin (0.73) Femme (0.73) Doctor (0.63) Female doctor (0.62) |
✔ | 0.04 |
| fr | Doctoresse - Femme + Homme | Docteur (0.68) | Doctoresse (0.72) Doctor (0.71) Homme (0.69) Docteur (0.68) Man (0.61) Medicine (0.54) |
✖ | |
| en | Doctor - Man + Woman | Female doctor (0.78) | Female doctor (0.78) Doctor (0.77) Doctoresse (0.75) Femme-médecin (0.72) Woman (0.68) Nurse (0.66) |
✔ | 0.01 |
| en | Female doctor - Woman + Man | Doctor (0.73) | Man (0.78) Doctor (0.73) Female doctor (0.71) Homme (0.65) Docteur (0.62) Medicine (0.57) |
✖ | |
| fr | Médecine - Femme + Homme | Médecine (0.77) | Médecine (0.77) Médecin (0.74) Homme (0.70) Medicine (0.61) Man (0.54) Docteur (0.53) |
✔ | 0.03 |
| en | Capital + City | Capital city (0.85) | Capital (0.89) City (0.89) Capital city (0.85) Capitale (0.79) Londres (0.67) Ville (0.67) |
✖ | |
| en | Woman + Doctor | Doctor (0.87) | Woman (0.87) Doctor (0.87) Female doctor (0.83) Nurse (0.78) Femme-médecin (0.76) Doctoresse (0.74) |
✖ | |
| fr | Femme + Médecin | Femme-médecin (0.87) | Femme (0.90) Médecin (0.90) Femme-médecin (0.87) Médecine (0.84) Infirmière (0.73) Homme (0.73) |
✖ | |
| fr | Roi + Soleil | Roi-soleil (0.84) | Roi (0.86) Soleil (0.86) Roi-soleil (0.84) Souverain (0.63) Homme (0.60) Sovereign (0.59) |
✖ | |
| fr | Base + Données | Base de données (0.82) | Données (0.89) Base (0.89) Base de données (0.82) Database (0.74) Homme (0.66) Ville (0.65) |
✖ | |
| en | Database + Management + System | Database management system (0.80) | Management (0.87) Database (0.86) System (0.85) Database management system (0.80) Base de données (0.78) Système de gestion de base de données (0.72) |
✖ | |
| en | avg(King, Queen, Prince, Princess) | Monarch (0.65) | Princesse (0.78) Reine (0.69) Countess (0.66) Monarch (0.65) City (0.63) Roi (0.62) |
✖ | |
| fr | avg(Roi, Reine, Prince, Princesse) | Monarque (0.59) | Princess (0.82) King (0.70) Queen (0.66) Countess (0.65) Capitale (0.64) Doctoresse (0.64) |
✖ | |
| en | avg(Mysql, Oracle, Postgresql, Mariadb) | Database (0.77) | Base de données (0.77) Database (0.77) Database management system (0.68) Système de gestion de base de données (0.63) Management (0.62) Données (0.61) |
✖ | |
| en | avg(Mysql, Mariadb) | Database (0.67) | Postgresql (0.69) Base de données (0.68) Database (0.67) Oracle (0.64) Database management system (0.61) Madrid (0.59) |
✖ | |
| en | avg(Paris, London, Berlin, Madrid) | City (0.66) | Londres (0.86) Barcelona (0.73) England (0.70) France (0.69) Barcelone (0.69) Germany (0.69) |
✖ |
| Term | Similarity |
|---|---|
| King | 1.00 |
| Prince | 0.63 |
| Roi | 0.62 |
| Queen | 0.61 |
| Monarch | 0.58 |
| City | 0.57 |
| Reine | 0.57 |
| Doctor | 0.56 |
| Man | 0.56 |
| System | 0.55 |
| Term | Similarity |
|---|---|
| Roi | 1.00 |
| Roi-soleil | 0.75 |
| King | 0.62 |
| Monarch | 0.56 |
| Docteur | 0.54 |
| Homme | 0.53 |
| City | 0.53 |
| Doctor | 0.53 |
| Reine | 0.53 |
| Souverain | 0.52 |
Time to compute vectorization examples: 8,8 s
| Title | Value |
|---|---|
| Model | qllama/multilingual-e5-base |
| Ollama link | https://ollama.com/qllama/multilingual-e5-base |
| Hugging Face link | https://huggingface.co/cstr/multilingual-e5-base-GGUF |
| Architecture | bert |
| Parameters | 277.45M |
| Model size (disk) | 289,1 MB |
| Context length | 512 |
| Dimensions | 768 |
| Quantization | Q8_0 |
| Distinct token count | 250002 |
| Ollama model — last updated on | 26/02/2025 |
| Hugging Face model — created on | 17/04/2026 |
| Hugging Face model — last updated on | 02/08/2026 |
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | king - man + woman | queen (0.80) | king (0.90) woman (0.89) monarch (0.88) princess (0.87) reine (0.85) femme (0.84) |
✖ | |
| en | queen - woman + man | king (0.80) | queen (0.91) man (0.86) king (0.80) prince (0.80) monarch (0.79) homme (0.79) |
✖ | |
| fr | roi - homme + femme | reine (0.84) | roi (0.91) femme (0.86) reine (0.84) monarch (0.84) princess (0.84) king (0.83) |
✖ | |
| fr | reine - femme + homme | roi (0.83) | reine (0.91) homme (0.88) monarque (0.85) roi (0.83) king (0.83) souverain (0.83) |
✖ | |
| en | paris - france + germany | berlin (0.92) | germany (0.94) paris (0.93) berlin (0.92) london (0.88) barcelona (0.87) frankfurt (0.87) |
✖ | |
| fr | paris - france + allemagne | berlin (0.88) | allemagne (0.94) paris (0.89) berlin (0.88) barcelone (0.87) barcelona (0.86) germany (0.86) |
✖ | |
| en | paris - france + england | london (0.92) | england (0.94) paris (0.92) london (0.92) berlin (0.88) londres (0.88) germany (0.87) |
✖ | |
| fr | paris - france + angletterre | londres (0.79) | angletterre (0.95) capitale (0.82) metropolis (0.82) ville (0.82) princesse (0.82) capital (0.81) |
✖ | |
| fr | roi - homme + ville | capitale (0.78) | roi (0.89) ville (0.87) king (0.82) city (0.82) monarch (0.81) reine (0.80) |
✖ | |
| en | king - man + city | capital city (0.83) | city (0.90) king (0.89) monarch (0.85) ville (0.84) town (0.84) capital city (0.83) |
✖ | |
| fr | infirmier - homme + femme | infirmière (0.90) | infirmier (0.92) infirmière (0.90) nurse (0.86) femme (0.86) female doctor (0.85) femme-médecin (0.83) |
✖ | |
| fr | infirmière - femme + homme | infirmier (0.89) | infirmière (0.91) infirmier (0.89) homme (0.88) médecin (0.87) docteur (0.86) médecine (0.86) |
✖ | |
| fr | médecin - homme + femme | femme-médecin (0.88) | médecin (0.91) femme (0.89) femme-médecin (0.88) docteur (0.88) female doctor (0.87) infirmière (0.87) |
✖ | |
| fr | docteur - homme + femme | docteur (0.91) | docteur (0.91) femme (0.89) female doctor (0.88) doctoresse (0.87) doctor (0.87) femme-médecin (0.87) |
✔ | 0.02 |
| fr | doctoresse - femme + homme | docteur (0.87) | doctoresse (0.91) homme (0.87) docteur (0.87) médecin (0.87) médecine (0.85) doctor (0.83) |
✖ | |
| en | doctor - man + woman | female doctor (0.90) | doctor (0.91) woman (0.90) female doctor (0.90) nurse (0.88) docteur (0.85) infirmier (0.85) |
✖ | |
| en | female doctor - woman + man | doctor (0.89) | female doctor (0.90) man (0.90) doctor (0.89) docteur (0.88) médecin (0.87) medicine (0.86) |
✖ | |
| fr | médecine - femme + homme | médecine (0.91) | médecine (0.91) homme (0.88) médecin (0.87) docteur (0.85) medicine (0.83) base de données (0.83) |
✔ | 0.04 |
| en | capital + city | capital city (0.96) | city (0.98) capital (0.98) capital city (0.96) capitale (0.94) town (0.92) ville (0.92) |
✖ | |
| en | woman + doctor | doctor (0.97) | doctor (0.97) woman (0.97) nurse (0.94) female doctor (0.93) man (0.92) docteur (0.91) |
✔ | 0.00 |
| fr | femme + médecin | femme-médecin (0.93) | femme (0.97) médecin (0.97) docteur (0.95) médecine (0.94) femme-médecin (0.93) infirmière (0.92) |
✖ | |
| fr | roi + soleil | roi-soleil (0.93) | soleil (0.97) roi (0.97) roi-soleil (0.93) reine (0.91) king (0.91) monarque (0.90) |
✖ | |
| fr | base + données | base de données (0.96) | données (0.96) base (0.96) base de données (0.96) database (0.94) postgresql (0.90) mysql (0.90) |
✖ | |
| en | database + management + system | database management system (0.93) | database (0.96) system (0.96) management (0.96) database management system (0.93) mysql (0.93) medicine (0.92) |
✖ | |
| en | avg(king, queen, prince, princess) | monarch (0.95) | monarch (0.95) reine (0.93) princesse (0.93) roi (0.92) monarque (0.92) sovereign (0.91) |
✔ | 0.02 |
| fr | avg(roi, reine, prince, princesse) | monarque (0.93) | princess (0.95) monarch (0.94) monarque (0.93) king (0.93) souverain (0.90) duke (0.90) |
✖ | |
| en | avg(mysql, oracle, postgresql, mariadb) | database (0.94) | database (0.94) base de données (0.92) database management system (0.91) données (0.90) management (0.90) base (0.89) |
✔ | 0.02 |
| en | avg(mysql, mariadb) | database (0.92) | database (0.92) postgresql (0.92) oracle (0.90) base de données (0.90) sgbd (0.89) database management system (0.89) |
✔ | 0.00 |
| en | avg(paris, london, berlin, madrid) | city (0.92) | france (0.94) barcelona (0.94) barcelone (0.94) germany (0.94) england (0.93) londres (0.93) |
✖ |
| Term | Similarity |
|---|---|
| king | 1.00 |
| monarch | 0.95 |
| roi | 0.91 |
| prince | 0.91 |
| princess | 0.90 |
| monarque | 0.90 |
| reine | 0.90 |
| sovereign | 0.89 |
| doctor | 0.89 |
| duke | 0.88 |
| Term | Similarity |
|---|---|
| roi | 1.00 |
| king | 0.91 |
| monarch | 0.90 |
| roi-soleil | 0.90 |
| reine | 0.90 |
| monarque | 0.89 |
| prince | 0.88 |
| soleil | 0.87 |
| princess | 0.87 |
| duc | 0.87 |
Time to compute vectorization examples: 9,2 s
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | King - Man + Woman | Queen (0.85) | King (0.90) Woman (0.86) Queen (0.85) Princess (0.84) Monarch (0.80) Prince (0.78) |
✖ | |
| en | Queen - Woman + Man | King (0.85) | Queen (0.90) Man (0.88) King (0.85) Prince (0.84) Monarch (0.82) Duke (0.81) |
✖ | |
| fr | Roi - Homme + Femme | Reine (0.79) | Roi (0.92) Queen (0.81) Femme (0.81) Princess (0.80) Roi-soleil (0.80) Reine (0.79) |
✖ | |
| fr | Reine - Femme + Homme | Roi (0.79) | Reine (0.92) Homme (0.86) King (0.80) Monarque (0.80) Princesse (0.80) Roi (0.79) |
✖ | |
| en | Paris - France + Germany | Berlin (0.89) | Paris (0.92) Berlin (0.89) Germany (0.88) London (0.86) Barcelona (0.85) Madrid (0.84) |
✖ | |
| fr | Paris - France + Allemagne | Berlin (0.85) | Allemagne (0.89) Paris (0.87) Berlin (0.85) Londres (0.82) Frankfurt (0.81) Madrid (0.79) |
✖ | |
| en | Paris - France + England | London (0.87) | Paris (0.90) England (0.89) London (0.87) Londres (0.84) Barcelona (0.83) Madrid (0.82) |
✖ | |
| fr | Paris - France + Angletterre | Londres (0.74) | Angletterre (0.89) Paris (0.79) Princesse (0.77) Capitale (0.76) Capital city (0.75) Princess (0.75) |
✖ | |
| fr | Roi - Homme + Ville | Capitale (0.68) | Roi (0.86) Ville (0.84) King (0.76) City (0.75) Roi-soleil (0.74) Queen (0.74) |
✖ | |
| en | King - Man + City | Capital city (0.78) | King (0.88) City (0.87) Queen (0.81) Town (0.80) Princess (0.80) Capital city (0.78) |
✖ | |
| fr | Infirmier - Homme + Femme | Infirmière (0.91) | Infirmier (0.92) Infirmière (0.91) Female doctor (0.84) Femme-médecin (0.84) Femme (0.83) Princesse (0.82) |
✖ | |
| fr | Infirmière - Femme + Homme | Infirmier (0.91) | Infirmière (0.92) Infirmier (0.91) Docteur (0.85) Homme (0.84) Doctor (0.83) Médecin (0.82) |
✖ | |
| fr | Médecin - Homme + Femme | Femme-médecin (0.89) | Médecin (0.92) Médecine (0.89) Femme-médecin (0.89) Medicine (0.84) Femme (0.84) Female doctor (0.83) |
✖ | |
| fr | Docteur - Homme + Femme | Docteur (0.92) | Docteur (0.92) Femme-médecin (0.87) Female doctor (0.86) Doctoresse (0.86) Doctor (0.86) Femme (0.86) |
✔ | 0.05 |
| fr | Doctoresse - Femme + Homme | Docteur (0.86) | Doctoresse (0.92) Docteur (0.86) Homme (0.85) Doctor (0.84) Médecin (0.82) Médecine (0.82) |
✖ | |
| en | Doctor - Man + Woman | Female doctor (0.88) | Doctor (0.90) Female doctor (0.88) Woman (0.87) Nurse (0.84) Docteur (0.83) Doctoresse (0.82) |
✖ | |
| en | Female doctor - Woman + Man | Doctor (0.87) | Female doctor (0.89) Man (0.88) Doctor (0.87) Docteur (0.85) Medicine (0.83) Doctoresse (0.82) |
✖ | |
| fr | Médecine - Femme + Homme | Médecine (0.92) | Médecine (0.92) Médecin (0.90) Homme (0.85) Medicine (0.83) Docteur (0.81) Base de données (0.80) |
✔ | 0.03 |
| en | Capital + City | Capital city (0.95) | Capital (0.96) City (0.96) Capital city (0.95) Capitale (0.91) Town (0.90) Count (0.88) |
✖ | |
| en | Woman + Doctor | Doctor (0.96) | Doctor (0.96) Woman (0.96) Female doctor (0.92) Nurse (0.91) Man (0.91) Medicine (0.90) |
✔ | 0.00 |
| fr | Femme + Médecin | Femme-médecin (0.93) | Médecin (0.95) Femme (0.95) Médecine (0.95) Femme-médecin (0.93) Homme (0.91) Medicine (0.90) |
✖ | |
| fr | Roi + Soleil | Roi-soleil (0.94) | Roi (0.95) Soleil (0.95) Roi-soleil (0.94) Souverain (0.88) Queen (0.87) King (0.87) |
✖ | |
| fr | Base + Données | Base de données (0.93) | Données (0.96) Base (0.96) Base de données (0.93) Database (0.92) System (0.88) Monarque (0.87) |
✖ | |
| en | Database + Management + System | Database management system (0.92) | Database (0.96) System (0.95) Management (0.95) Database management system (0.92) Base de données (0.92) Base (0.90) |
✖ | |
| en | avg(King, Queen, Prince, Princess) | Monarch (0.92) | Monarch (0.92) Princesse (0.91) Monarque (0.89) Duke (0.89) City (0.89) Doctor (0.88) |
✔ | 0.00 |
| fr | avg(Roi, Reine, Prince, Princesse) | Monarque (0.90) | Princess (0.94) Queen (0.91) King (0.90) Monarque (0.90) Monarch (0.89) Viscount (0.89) |
✖ | |
| en | avg(Mysql, Oracle, Postgresql, Mariadb) | Database (0.93) | Database (0.93) Base de données (0.90) Database management system (0.89) Management (0.88) System (0.87) Système de gestion de base de données (0.87) |
✔ | 0.03 |
| en | avg(Mysql, Mariadb) | Database (0.91) | Database (0.91) Postgresql (0.90) Base de données (0.88) Oracle (0.87) Database management system (0.87) Management (0.85) |
✔ | 0.01 |
| en | avg(Paris, London, Berlin, Madrid) | City (0.89) | Barcelona (0.93) Londres (0.91) Germany (0.90) Frankfurt (0.90) France (0.89) City (0.89) |
✖ |
| Term | Similarity |
|---|---|
| King | 1.00 |
| Queen | 0.90 |
| Monarch | 0.88 |
| Princess | 0.88 |
| Prince | 0.87 |
| Roi | 0.86 |
| Monarque | 0.86 |
| City | 0.85 |
| Duke | 0.85 |
| Town | 0.85 |
| Term | Similarity |
|---|---|
| Roi | 1.00 |
| Roi-soleil | 0.88 |
| King | 0.86 |
| Queen | 0.84 |
| Princess | 0.83 |
| Monarch | 0.83 |
| Prince | 0.83 |
| Reine | 0.83 |
| Duc | 0.83 |
| Duke | 0.82 |
Time to compute vectorization examples: 6,8 s
| Title | Value |
|---|---|
| Model | qwen3-embedding:0.6b |
| Ollama link | https://ollama.com/library/qwen3-embedding%3A0.6b |
| Hugging Face link | https://huggingface.co/Qwen/Qwen3-Embedding-0.6B |
| Architecture | qwen3 |
| Parameters | 595.78M |
| Model size (disk) | 609,5 MB |
| Context length | 32768 |
| Dimensions | 1024 |
| Quantization | Q8_0 |
| Distinct token count | 151669 |
| Ollama model — last updated on | 23/09/2025 |
| Hugging Face model — created on | 03/06/2025 |
| Hugging Face model — last updated on | 20/04/2026 |
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | king - man + woman | queen (0.79) | woman (0.82) king (0.80) queen (0.79) princess (0.74) femme (0.74) countess (0.74) |
✖ | |
| en | queen - woman + man | king (0.81) | man (0.83) monarque (0.82) queen (0.82) king (0.81) monarch (0.81) prince (0.78) |
✖ | |
| fr | roi - homme + femme | reine (0.69) | roi (0.79) femme (0.78) roi-soleil (0.69) reine (0.69) femme-médecin (0.67) countess (0.65) |
✖ | |
| fr | reine - femme + homme | roi (0.66) | homme (0.83) reine (0.77) man (0.71) king (0.70) roi (0.66) duke (0.66) |
✖ | |
| en | paris - france + germany | berlin (0.91) | berlin (0.91) frankfurt (0.88) germany (0.84) paris (0.83) londres (0.80) allemagne (0.79) |
✔ | 0.02 |
| fr | paris - france + allemagne | berlin (0.88) | berlin (0.88) frankfurt (0.86) allemagne (0.84) paris (0.84) londres (0.83) germany (0.79) |
✔ | 0.02 |
| en | paris - france + england | london (0.91) | london (0.91) londres (0.91) england (0.84) paris (0.83) berlin (0.80) metropolis (0.80) |
✔ | 0.01 |
| fr | paris - france + angletterre | londres (0.67) | angletterre (0.85) paris (0.69) berlin (0.68) londres (0.67) frankfurt (0.66) metropolis (0.65) |
✖ | |
| fr | roi - homme + ville | capitale (0.63) | ville (0.80) roi (0.77) town (0.71) city (0.70) capital city (0.69) metropolis (0.68) |
✖ | |
| en | king - man + city | capital city (0.77) | city (0.85) metropolis (0.79) capital city (0.77) ville (0.75) town (0.74) king (0.74) |
✖ | |
| fr | infirmier - homme + femme | infirmière (0.81) | infirmière (0.81) infirmier (0.81) femme-médecin (0.79) femme (0.75) médecin (0.65) nurse (0.64) |
✔ | 0.00 |
| fr | infirmière - femme + homme | infirmier (0.77) | infirmier (0.77) infirmière (0.76) homme (0.74) nurse (0.65) docteur (0.65) médecin (0.64) |
✔ | 0.00 |
| fr | médecin - homme + femme | femme-médecin (0.84) | femme-médecin (0.84) médecin (0.81) médecine (0.76) femme (0.73) docteur (0.70) infirmière (0.70) |
✔ | 0.03 |
| fr | docteur - homme + femme | docteur (0.80) | femme-médecin (0.82) docteur (0.80) médecin (0.75) femme (0.73) médecine (0.71) doctoresse (0.70) |
✖ | |
| fr | doctoresse - femme + homme | docteur (0.70) | doctoresse (0.79) doctor (0.71) docteur (0.70) homme (0.69) médecin (0.63) medicine (0.62) |
✖ | |
| en | doctor - man + woman | female doctor (0.81) | doctor (0.83) female doctor (0.81) docteur (0.75) woman (0.74) doctoresse (0.69) femme-médecin (0.69) |
✖ | |
| en | female doctor - woman + man | doctor (0.76) | man (0.81) female doctor (0.78) docteur (0.76) doctor (0.76) médecin (0.73) doctoresse (0.72) |
✖ | |
| fr | médecine - femme + homme | médecine (0.78) | médecine (0.78) medicine (0.75) médecin (0.73) homme (0.71) docteur (0.69) doctor (0.65) |
✔ | 0.02 |
| en | capital + city | capital city (0.90) | city (0.94) capital (0.94) metropolis (0.90) capital city (0.90) capitale (0.89) town (0.86) |
✖ | |
| en | woman + doctor | doctor (0.91) | woman (0.91) doctor (0.91) docteur (0.85) female doctor (0.85) femme-médecin (0.81) man (0.80) |
✖ | |
| fr | femme + médecin | femme-médecin (0.95) | femme-médecin (0.95) femme (0.91) médecin (0.91) médecine (0.86) docteur (0.84) infirmier (0.82) |
✔ | 0.04 |
| fr | roi + soleil | roi-soleil (0.89) | soleil (0.92) roi (0.92) roi-soleil (0.89) reine (0.82) king (0.78) vicomte (0.77) |
✖ | |
| fr | base + données | base de données (0.84) | base (0.90) données (0.90) base de données (0.84) compte (0.79) système de gestion de base de données (0.78) capitale (0.78) |
✖ | |
| en | database + management + system | database management system (0.80) | system (0.93) management (0.92) database (0.89) dbms (0.83) base (0.82) database management system (0.80) |
✖ | |
| en | avg(king, queen, prince, princess) | monarch (0.86) | princesse (0.94) countess (0.87) monarch (0.86) monarque (0.86) duke (0.84) reine (0.83) |
✖ | |
| fr | avg(roi, reine, prince, princesse) | monarque (0.83) | princess (0.93) queen (0.89) countess (0.84) monarque (0.83) king (0.83) monarch (0.83) |
✖ | |
| en | avg(mysql, oracle, postgresql, mariadb) | database (0.84) | dbms (0.89) database (0.84) database management system (0.82) système de gestion de base de données (0.75) base de données (0.73) system (0.66) |
✖ | |
| en | avg(mysql, mariadb) | database (0.81) | postgresql (0.88) dbms (0.86) oracle (0.85) database (0.81) database management system (0.81) système de gestion de base de données (0.73) |
✖ | |
| en | avg(paris, london, berlin, madrid) | city (0.85) | londres (0.93) frankfurt (0.92) métropole (0.88) metropolis (0.87) barcelone (0.87) barcelona (0.85) |
✖ |
| Term | Similarity |
|---|---|
| king | 1.00 |
| monarch | 0.81 |
| duke | 0.81 |
| man | 0.81 |
| homme | 0.79 |
| queen | 0.79 |
| roi | 0.76 |
| prince | 0.76 |
| princess | 0.76 |
| princesse | 0.76 |
| Term | Similarity |
|---|---|
| roi | 1.00 |
| roi-soleil | 0.79 |
| reine | 0.77 |
| king | 0.76 |
| duc | 0.75 |
| base | 0.74 |
| man | 0.73 |
| queen | 0.72 |
| vicomte | 0.72 |
| sovereign | 0.71 |
Time to compute vectorization examples: 9,8 s
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | King - Man + Woman | Queen (0.84) | Queen (0.84) King (0.82) Princess (0.80) Prince (0.75) Countess (0.74) Princesse (0.73) |
✔ | 0.02 |
| en | Queen - Woman + Man | King (0.83) | Prince (0.84) King (0.83) Queen (0.81) Princess (0.77) Roi (0.77) Man (0.76) |
✖ | |
| fr | Roi - Homme + Femme | Reine (0.74) | Roi (0.80) Roi-soleil (0.79) Femme (0.78) Princesse (0.77) Princess (0.75) Reine (0.74) |
✖ | |
| fr | Reine - Femme + Homme | Roi (0.63) | Homme (0.83) Man (0.71) Reine (0.70) Prince (0.64) Roi (0.63) King (0.59) |
✖ | |
| en | Paris - France + Germany | Berlin (0.91) | Berlin (0.91) Frankfurt (0.88) Germany (0.84) Allemagne (0.79) Londres (0.78) Metropolis (0.78) |
✔ | 0.03 |
| fr | Paris - France + Allemagne | Berlin (0.86) | Frankfurt (0.88) Berlin (0.86) Allemagne (0.84) Londres (0.82) Paris (0.80) Madrid (0.79) |
✖ | |
| en | Paris - France + England | London (0.91) | London (0.91) Londres (0.91) England (0.84) Madrid (0.78) Metropolis (0.77) Métropole (0.76) |
✔ | 0.01 |
| fr | Paris - France + Angletterre | Londres (0.69) | Angletterre (0.87) Ville (0.72) Metropolis (0.70) Métropole (0.70) Capitale (0.70) Londres (0.69) |
✖ | |
| fr | Roi - Homme + Ville | Capitale (0.73) | Ville (0.81) Monarque (0.76) Roi (0.76) Métropole (0.75) Roi-soleil (0.73) Capitale (0.73) |
✖ | |
| en | King - Man + City | Capital city (0.71) | City (0.78) Capital city (0.71) Metropolis (0.71) Métropole (0.71) King (0.70) London (0.68) |
✖ | |
| fr | Infirmier - Homme + Femme | Infirmière (0.79) | Infirmière (0.79) Infirmier (0.78) Femme-médecin (0.76) Femme (0.71) Nurse (0.65) Médecin (0.65) |
✔ | 0.01 |
| fr | Infirmière - Femme + Homme | Infirmier (0.75) | Infirmier (0.75) Infirmière (0.74) Homme (0.69) Docteur (0.63) Nurse (0.63) Médecin (0.60) |
✔ | 0.01 |
| fr | Médecin - Homme + Femme | Femme-médecin (0.82) | Femme-médecin (0.82) Médecin (0.79) Médecine (0.74) Femme (0.72) Medicine (0.70) Doctoresse (0.68) |
✔ | 0.03 |
| fr | Docteur - Homme + Femme | Docteur (0.76) | Femme-médecin (0.80) Docteur (0.76) Doctoresse (0.75) Médecin (0.74) Femme (0.73) Médecine (0.69) |
✖ | |
| fr | Doctoresse - Femme + Homme | Docteur (0.73) | Doctoresse (0.74) Docteur (0.73) Homme (0.72) Doctor (0.69) Médecin (0.62) Man (0.60) |
✖ | |
| en | Doctor - Man + Woman | Female doctor (0.80) | Doctor (0.83) Female doctor (0.80) Docteur (0.75) Doctoresse (0.69) Médecin (0.68) Woman (0.68) |
✖ | |
| en | Female doctor - Woman + Man | Doctor (0.76) | Female doctor (0.79) Docteur (0.77) Doctor (0.76) Man (0.75) Médecin (0.72) Doctoresse (0.68) |
✖ | |
| fr | Médecine - Femme + Homme | Médecine (0.74) | Médecine (0.74) Médecin (0.69) Docteur (0.67) Medicine (0.67) Homme (0.67) Doctor (0.62) |
✔ | 0.05 |
| en | Capital + City | Capital city (0.86) | Capital (0.92) City (0.92) Capitale (0.88) Metropolis (0.86) Capital city (0.86) Métropole (0.85) |
✖ | |
| en | Woman + Doctor | Doctor (0.89) | Doctor (0.89) Woman (0.89) Docteur (0.84) Female doctor (0.83) Man (0.79) Médecin (0.79) |
✔ | 0.00 |
| fr | Femme + Médecin | Femme-médecin (0.94) | Femme-médecin (0.94) Médecin (0.90) Femme (0.90) Docteur (0.82) Médecine (0.82) Doctoresse (0.81) |
✔ | 0.04 |
| fr | Roi + Soleil | Roi-soleil (0.96) | Roi-soleil (0.96) Roi (0.94) Soleil (0.94) Vicomte (0.84) Prince (0.84) Reine (0.83) |
✔ | 0.02 |
| fr | Base + Données | Base de données (0.83) | Données (0.90) Base (0.90) Base de données (0.83) Système de gestion de base de données (0.78) Compte (0.76) Capitale (0.75) |
✖ | |
| en | Database + Management + System | Database management system (0.75) | System (0.90) Management (0.89) Database (0.87) Dbms (0.79) Système de gestion de base de données (0.78) Base (0.78) |
✖ | |
| en | avg(King, Queen, Prince, Princess) | Monarch (0.77) | Princesse (0.87) Roi (0.85) Countess (0.83) Reine (0.83) Vicomte (0.81) Monarque (0.81) |
✖ | |
| fr | avg(Roi, Reine, Prince, Princesse) | Monarque (0.85) | Princess (0.91) King (0.89) Roi-soleil (0.88) Vicomte (0.87) Queen (0.86) Monarque (0.85) |
✖ | |
| en | avg(Mysql, Oracle, Postgresql, Mariadb) | Database (0.82) | Dbms (0.87) Database (0.82) Database management system (0.80) Système de gestion de base de données (0.77) Base de données (0.73) Sgbd (0.65) |
✖ | |
| en | avg(Mysql, Mariadb) | Database (0.79) | Postgresql (0.85) Dbms (0.82) Oracle (0.82) Database (0.79) Database management system (0.78) Système de gestion de base de données (0.75) |
✖ | |
| en | avg(Paris, London, Berlin, Madrid) | City (0.81) | Londres (0.93) Frankfurt (0.91) Capitale (0.88) Métropole (0.88) Monarque (0.87) Metropolis (0.85) |
✖ |
| Term | Similarity |
|---|---|
| King | 1.00 |
| Prince | 0.92 |
| Roi | 0.83 |
| Princess | 0.82 |
| Queen | 0.82 |
| Princesse | 0.78 |
| Sovereign | 0.78 |
| Monarque | 0.78 |
| Roi-soleil | 0.78 |
| Vicomte | 0.77 |
| Term | Similarity |
|---|---|
| Roi | 1.00 |
| Roi-soleil | 0.92 |
| Vicomte | 0.86 |
| Prince | 0.85 |
| King | 0.83 |
| Monarque | 0.82 |
| Duc | 0.80 |
| Reine | 0.80 |
| Princess | 0.79 |
| Souverain | 0.79 |
Time to compute vectorization examples: 7,4 s
| Title | Value |
|---|---|
| Model | nomic-embed-text-v2-moe |
| Ollama link | https://ollama.com/library/nomic-embed-text-v2-moe |
| Hugging Face link | https://huggingface.co/nomic-ai/nomic-embed-text-v2-moe |
| Architecture | nomic-bert-moe |
| Parameters | 475.29M |
| Model size (disk) | 913,3 MB |
| Context length | 512 |
| Dimensions | 768 |
| Quantization | F16 |
| Distinct token count | 250048 |
| Ollama model — last updated on | 10/12/2025 |
| Hugging Face model — created on | 07/02/2025 |
| Hugging Face model — last updated on | 01/04/2025 |
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | king - man + woman | queen (0.29) | king (0.62) woman (0.58) femme (0.52) princess (0.48) reine (0.47) female doctor (0.44) |
✖ | |
| en | queen - woman + man | king (0.37) | queen (0.68) man (0.56) homme (0.38) king (0.37) london (0.27) souverain (0.27) |
✖ | |
| fr | roi - homme + femme | reine (0.48) | roi (0.68) femme (0.56) woman (0.50) reine (0.48) princess (0.41) female doctor (0.39) |
✖ | |
| fr | reine - femme + homme | roi (0.40) | reine (0.62) homme (0.54) man (0.48) king (0.44) monarque (0.44) roi (0.40) |
✖ | |
| en | paris - france + germany | berlin (0.58) | germany (0.67) paris (0.63) berlin (0.58) frankfurt (0.42) madrid (0.41) barcelona (0.39) |
✖ | |
| fr | paris - france + allemagne | berlin (0.45) | allemagne (0.68) paris (0.54) berlin (0.45) barcelona (0.38) capitale (0.37) madrid (0.35) |
✖ | |
| en | paris - france + england | london (0.65) | england (0.68) london (0.65) paris (0.62) londres (0.59) berlin (0.42) madrid (0.41) |
✖ | |
| fr | paris - france + angletterre | londres (0.28) | angletterre (0.72) paris (0.46) berlin (0.34) capital city (0.31) london (0.31) city (0.29) |
✖ | |
| fr | roi - homme + ville | capitale (0.42) | roi (0.64) ville (0.63) city (0.55) capitale (0.42) capital city (0.42) reine (0.38) |
✖ | |
| en | king - man + city | capital city (0.54) | city (0.65) king (0.63) capital city (0.54) ville (0.53) capitale (0.49) capital (0.38) |
✖ | |
| fr | infirmier - homme + femme | infirmière (0.83) | infirmière (0.83) infirmier (0.69) femme (0.54) femme-médecin (0.48) woman (0.48) female doctor (0.47) |
✔ | 0.14 |
| fr | infirmière - femme + homme | infirmier (0.75) | infirmier (0.75) infirmière (0.58) homme (0.52) man (0.48) médecin (0.40) doctor (0.39) |
✔ | 0.17 |
| fr | médecin - homme + femme | femme-médecin (0.71) | female doctor (0.71) femme-médecin (0.71) médecin (0.66) femme (0.63) doctoresse (0.59) woman (0.58) |
✖ | |
| fr | docteur - homme + femme | docteur (0.66) | female doctor (0.71) doctoresse (0.67) docteur (0.66) femme-médecin (0.64) femme (0.58) doctor (0.56) |
✖ | |
| fr | doctoresse - femme + homme | docteur (0.60) | doctor (0.60) docteur (0.60) doctoresse (0.58) homme (0.55) médecin (0.49) man (0.48) |
✖ | |
| en | doctor - man + woman | female doctor (0.83) | female doctor (0.83) femme-médecin (0.67) doctor (0.67) doctoresse (0.66) woman (0.64) femme (0.58) |
✔ | 0.15 |
| en | female doctor - woman + man | doctor (0.69) | doctor (0.69) man (0.67) médecin (0.65) docteur (0.63) homme (0.55) médecine (0.52) |
✔ | 0.03 |
| fr | médecine - femme + homme | médecine (0.72) | médecine (0.72) médecin (0.62) medicine (0.59) homme (0.57) doctor (0.51) man (0.49) |
✔ | 0.10 |
| en | capital + city | capital city (0.84) | capital (0.85) city (0.85) capital city (0.84) capitale (0.82) ville (0.73) metropolis (0.52) |
✖ | |
| en | woman + doctor | doctor (0.82) | female doctor (0.83) doctor (0.82) woman (0.82) femme (0.73) médecin (0.72) femme-médecin (0.69) |
✖ | |
| fr | femme + médecin | femme-médecin (0.72) | femme (0.82) médecin (0.82) female doctor (0.76) woman (0.75) femme-médecin (0.72) doctor (0.72) |
✖ | |
| fr | roi + soleil | roi-soleil (0.62) | roi (0.81) soleil (0.81) roi-soleil (0.62) prince (0.46) london (0.44) monarch (0.42) |
✖ | |
| fr | base + données | base de données (0.80) | base (0.83) données (0.83) base de données (0.80) database (0.67) système de gestion de base de données (0.57) database management system (0.44) |
✖ | |
| en | database + management + system | database management system (0.78) | database management system (0.78) system (0.77) database (0.75) management (0.75) système de gestion de base de données (0.59) base de données (0.55) |
✔ | 0.01 |
| en | avg(king, queen, prince, princess) | monarch (0.65) | princesse (0.73) monarch (0.65) reine (0.53) monarque (0.53) roi (0.50) capitale (0.45) |
✖ | |
| fr | avg(roi, reine, prince, princesse) | monarque (0.58) | princess (0.76) monarch (0.60) king (0.58) monarque (0.58) capitale (0.44) souverain (0.44) |
✖ | |
| en | avg(mysql, oracle, postgresql, mariadb) | database (0.56) | database (0.56) database management system (0.50) dbms (0.45) base de données (0.44) données (0.43) monarch (0.42) |
✔ | 0.06 |
| en | avg(mysql, mariadb) | database (0.57) | database (0.57) database management system (0.51) postgresql (0.50) dbms (0.49) madrid (0.43) base de données (0.41) |
✔ | 0.05 |
| en | avg(paris, london, berlin, madrid) | city (0.58) | londres (0.67) city (0.58) capitale (0.56) england (0.55) capital city (0.54) barcelona (0.53) |
✖ |
| Term | Similarity |
|---|---|
| king | 1.00 |
| monarch | 0.57 |
| prince | 0.53 |
| monarque | 0.52 |
| roi | 0.47 |
| reine | 0.43 |
| princess | 0.42 |
| capitale | 0.39 |
| princesse | 0.39 |
| souverain | 0.38 |
| Term | Similarity |
|---|---|
| roi | 1.00 |
| roi-soleil | 0.53 |
| king | 0.47 |
| reine | 0.45 |
| monarch | 0.44 |
| prince | 0.43 |
| monarque | 0.41 |
| london | 0.39 |
| princess | 0.35 |
| oracle | 0.34 |
Time to compute vectorization examples: 11,1 s
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | King - Man + Woman | Queen (0.51) | King (0.65) Woman (0.59) Queen (0.51) Femme (0.40) Princesse (0.40) Female doctor (0.36) |
✖ | |
| en | Queen - Woman + Man | King (0.50) | Queen (0.64) Man (0.64) King (0.50) Prince (0.47) Londres (0.37) London (0.37) |
✖ | |
| fr | Roi - Homme + Femme | Reine (0.36) | Roi (0.69) Femme (0.50) Reine (0.36) Woman (0.36) Infirmière (0.35) Female doctor (0.31) |
✖ | |
| fr | Reine - Femme + Homme | Roi (0.29) | Reine (0.64) Homme (0.56) Man (0.45) Prince (0.33) King (0.31) Roi (0.29) |
✖ | |
| en | Paris - France + Germany | Berlin (0.66) | Germany (0.75) Berlin (0.66) Paris (0.64) Allemagne (0.62) Madrid (0.53) Frankfurt (0.50) |
✖ | |
| fr | Paris - France + Allemagne | Berlin (0.56) | Allemagne (0.76) Germany (0.58) Berlin (0.56) Paris (0.51) Madrid (0.42) Frankfurt (0.42) |
✖ | |
| en | Paris - France + England | London (0.66) | England (0.77) London (0.66) Londres (0.63) Paris (0.60) Madrid (0.53) Barcelona (0.47) |
✖ | |
| fr | Paris - France + Angletterre | Londres (0.30) | Angletterre (0.78) Paris (0.40) Berlin (0.32) London (0.32) City (0.32) Londres (0.30) |
✖ | |
| fr | Roi - Homme + Ville | Capitale (0.19) | Roi (0.65) Ville (0.59) City (0.40) Town (0.33) Roi-soleil (0.29) Paris (0.29) |
✖ | |
| en | King - Man + City | Capital city (0.50) | City (0.64) King (0.64) Capital city (0.50) Queen (0.43) Ville (0.42) Capitale (0.39) |
✖ | |
| fr | Infirmier - Homme + Femme | Infirmière (0.82) | Infirmière (0.82) Infirmier (0.69) Femme (0.49) Female doctor (0.41) Femme-médecin (0.40) Woman (0.34) |
✔ | 0.14 |
| fr | Infirmière - Femme + Homme | Infirmier (0.74) | Infirmier (0.74) Infirmière (0.58) Homme (0.49) Médecin (0.43) Man (0.42) Docteur (0.39) |
✔ | 0.16 |
| fr | Médecin - Homme + Femme | Femme-médecin (0.72) | Femme-médecin (0.72) Médecin (0.64) Female doctor (0.63) Médecine (0.60) Femme (0.53) Infirmière (0.51) |
✔ | 0.07 |
| fr | Docteur - Homme + Femme | Docteur (0.64) | Female doctor (0.65) Docteur (0.64) Femme-médecin (0.58) Femme (0.57) Doctor (0.54) Doctoresse (0.50) |
✖ | |
| fr | Doctoresse - Femme + Homme | Docteur (0.52) | Doctoresse (0.66) Homme (0.56) Doctor (0.55) Docteur (0.52) Médecin (0.45) Man (0.43) |
✖ | |
| en | Doctor - Man + Woman | Female doctor (0.74) | Female doctor (0.74) Doctor (0.68) Woman (0.62) Femme-médecin (0.56) Doctoresse (0.54) Docteur (0.51) |
✔ | 0.06 |
| en | Female doctor - Woman + Man | Doctor (0.61) | Man (0.62) Doctor (0.61) Médecin (0.58) Docteur (0.57) Female doctor (0.53) Medicine (0.50) |
✖ | |
| fr | Médecine - Femme + Homme | Médecine (0.72) | Médecine (0.72) Médecin (0.67) Homme (0.56) Medicine (0.56) Docteur (0.48) Man (0.46) |
✔ | 0.04 |
| en | Capital + City | Capital city (0.83) | Capital (0.85) City (0.85) Capital city (0.83) Capitale (0.76) Ville (0.57) Town (0.52) |
✖ | |
| en | Woman + Doctor | Doctor (0.82) | Woman (0.82) Doctor (0.82) Female doctor (0.76) Docteur (0.65) Doctoresse (0.60) Medicine (0.56) |
✖ | |
| fr | Femme + Médecin | Femme-médecin (0.75) | Femme (0.77) Médecin (0.77) Femme-médecin (0.75) Médecine (0.71) Female doctor (0.71) Medicine (0.60) |
✖ | |
| fr | Roi + Soleil | Roi-soleil (0.75) | Roi (0.79) Soleil (0.79) Roi-soleil (0.75) Paris (0.36) London (0.35) Reine (0.34) |
✖ | |
| fr | Base + Données | Base de données (0.75) | Données (0.80) Base (0.80) Base de données (0.75) Database (0.60) Système de gestion de base de données (0.50) Database management system (0.43) |
✖ | |
| en | Database + Management + System | Database management system (0.75) | System (0.76) Database management system (0.75) Management (0.74) Database (0.73) Base de données (0.54) Système de gestion de base de données (0.54) |
✖ | |
| en | avg(King, Queen, Prince, Princess) | Monarch (0.51) | Princesse (0.72) Monarch (0.51) Monarque (0.50) Paris (0.48) Londres (0.47) Reine (0.45) |
✖ | |
| fr | avg(Roi, Reine, Prince, Princesse) | Monarque (0.45) | Princess (0.70) Queen (0.57) King (0.47) Paris (0.46) Monarque (0.45) Monarch (0.43) |
✖ | |
| en | avg(Mysql, Oracle, Postgresql, Mariadb) | Database (0.57) | Database (0.57) Database management system (0.55) Base de données (0.45) Barcelona (0.42) Madrid (0.42) Système de gestion de base de données (0.40) |
✔ | 0.02 |
| en | avg(Mysql, Mariadb) | Database (0.57) | Database (0.57) Database management system (0.52) Postgresql (0.49) Base de données (0.42) Dbms (0.39) Madrid (0.39) |
✔ | 0.05 |
| en | avg(Paris, London, Berlin, Madrid) | City (0.57) | Londres (0.75) Barcelona (0.63) France (0.63) Frankfurt (0.62) England (0.60) City (0.57) |
✖ |
| Term | Similarity |
|---|---|
| King | 1.00 |
| Queen | 0.59 |
| Prince | 0.48 |
| Monarque | 0.42 |
| Monarch | 0.38 |
| Princess | 0.37 |
| Londres | 0.36 |
| Man | 0.36 |
| Capital | 0.36 |
| London | 0.35 |
| Term | Similarity |
|---|---|
| Roi | 1.00 |
| Roi-soleil | 0.50 |
| Reine | 0.36 |
| London | 0.29 |
| Paris | 0.29 |
| Londres | 0.26 |
| France | 0.26 |
| Doctor | 0.25 |
| Queen | 0.25 |
| Compte | 0.25 |
Time to compute vectorization examples: 7,9 s
| Title | Value |
|---|---|
| Model | paraphrase-multilingual:278m-mpnet-base-v2-fp16 |
| Ollama link | https://ollama.com/library/paraphrase-multilingual%3A278m-mpnet-base-v2-fp16 |
| Hugging Face link | https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2 |
| Architecture | bert |
| Parameters | 277.45M |
| Model size (disk) | 536,7 MB |
| Context length | 512 |
| Dimensions | 768 |
| Quantization | F16 |
| Distinct token count | 250002 |
| Ollama model — last updated on | 07/08/2024 |
| Hugging Face model — created on | 03/03/2022 |
| Hugging Face model — last updated on | 19/08/2025 |
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | king - man + woman | queen (0.68) | queen (0.68) woman (0.65) femme (0.59) princesse (0.56) princess (0.55) reine (0.54) |
✔ | 0.03 |
| en | queen - woman + man | king (0.63) | man (0.70) homme (0.68) king (0.63) roi (0.58) souverain (0.58) monarque (0.54) |
✖ | |
| fr | roi - homme + femme | reine (0.75) | reine (0.75) queen (0.71) femme (0.71) princesse (0.65) woman (0.64) roi (0.63) |
✔ | 0.04 |
| fr | reine - femme + homme | roi (0.67) | homme (0.78) man (0.76) roi (0.67) souverain (0.65) ville (0.58) king (0.56) |
✖ | |
| en | paris - france + germany | berlin (0.80) | germany (0.87) berlin (0.80) frankfurt (0.69) allemagne (0.50) paris (0.47) métropole (0.45) |
✖ | |
| fr | paris - france + allemagne | berlin (0.57) | allemagne (0.86) paris (0.79) ville (0.69) roi-soleil (0.68) métropole (0.61) france (0.61) |
✖ | |
| en | paris - france + england | london (0.77) | england (0.86) london (0.77) londres (0.76) ville (0.50) souverain (0.49) métropole (0.47) |
✖ | |
| fr | paris - france + angletterre | londres (0.49) | angletterre (0.87) ville (0.65) comptesse (0.61) duc (0.54) roi-soleil (0.53) compte (0.52) |
✖ | |
| fr | roi - homme + ville | capitale (0.41) | roi (0.82) roi-soleil (0.76) ville (0.75) reine (0.73) souverain (0.71) monarque (0.63) |
✖ | |
| en | king - man + city | capital city (0.58) | city (0.64) capital city (0.58) king (0.58) métropole (0.55) metropolis (0.53) queen (0.49) |
✖ | |
| fr | infirmier - homme + femme | infirmière (0.80) | infirmière (0.80) femme-médecin (0.78) female doctor (0.77) nurse (0.77) infirmier (0.71) woman (0.71) |
✔ | 0.02 |
| fr | infirmière - femme + homme | infirmier (0.62) | man (0.71) homme (0.69) médecin (0.63) infirmier (0.62) docteur (0.60) doctor (0.59) |
✖ | |
| fr | médecin - homme + femme | femme-médecin (0.87) | female doctor (0.88) femme-médecin (0.87) doctoresse (0.80) infirmière (0.74) femme (0.72) nurse (0.70) |
✖ | |
| fr | docteur - homme + femme | docteur (0.64) | female doctor (0.87) femme-médecin (0.85) doctoresse (0.80) infirmière (0.72) femme (0.70) nurse (0.68) |
✖ | |
| fr | doctoresse - femme + homme | docteur (0.76) | doctor (0.76) médecin (0.76) docteur (0.76) man (0.72) homme (0.69) doctoresse (0.59) |
✖ | |
| en | doctor - man + woman | female doctor (0.87) | female doctor (0.87) femme-médecin (0.77) doctoresse (0.71) woman (0.69) infirmière (0.66) nurse (0.65) |
✔ | 0.10 |
| en | female doctor - woman + man | doctor (0.72) | man (0.73) doctor (0.72) médecin (0.71) docteur (0.71) homme (0.69) doctoresse (0.54) |
✖ | |
| fr | médecine - femme + homme | médecine (0.65) | man (0.71) homme (0.68) médecine (0.65) médecin (0.64) docteur (0.63) doctor (0.61) |
✖ | |
| en | capital + city | capital city (0.92) | capital city (0.92) capitale (0.88) city (0.86) capital (0.86) métropole (0.82) metropolis (0.77) |
✔ | 0.04 |
| en | woman + doctor | doctor (0.77) | femme-médecin (0.90) female doctor (0.89) doctoresse (0.87) médecin (0.80) docteur (0.79) femme (0.78) |
✖ | |
| fr | femme + médecin | femme-médecin (0.91) | femme-médecin (0.91) doctoresse (0.87) médecin (0.84) femme (0.84) docteur (0.83) female doctor (0.80) |
✔ | 0.05 |
| fr | roi + soleil | roi-soleil (0.81) | soleil (0.85) roi (0.85) roi-soleil (0.81) souverain (0.77) ville (0.74) reine (0.70) |
✖ | |
| fr | base + données | base de données (0.67) | base (0.82) données (0.82) base de données (0.67) comptesse (0.65) compte (0.62) sgbd (0.61) |
✖ | |
| en | database + management + system | database management system (0.80) | système de gestion de base de données (0.85) database management system (0.80) system (0.76) management (0.75) base de données (0.73) database (0.73) |
✖ | |
| en | avg(king, queen, prince, princess) | monarch (0.71) | princesse (0.82) roi (0.77) monarque (0.74) souverain (0.73) reine (0.72) monarch (0.71) |
✖ | |
| fr | avg(roi, reine, prince, princesse) | monarque (0.73) | souverain (0.78) princess (0.78) queen (0.74) monarque (0.73) roi-soleil (0.72) monarch (0.70) |
✖ | |
| en | avg(mysql, oracle, postgresql, mariadb) | database (0.60) | database (0.60) base de données (0.60) comptesse (0.59) reine (0.56) ville (0.54) roi (0.54) |
✔ | 0.00 |
| en | avg(mysql, mariadb) | database (0.55) | database (0.55) base de données (0.55) reine (0.54) postgresql (0.52) comptesse (0.51) système de gestion de base de données (0.48) |
✔ | 0.00 |
| en | avg(paris, london, berlin, madrid) | city (0.60) | londres (0.73) allemagne (0.69) métropole (0.67) france (0.64) metropolis (0.63) barcelone (0.61) |
✖ |
| Term | Similarity |
|---|---|
| king | 1.00 |
| roi | 0.84 |
| souverain | 0.74 |
| monarque | 0.73 |
| monarch | 0.71 |
| queen | 0.63 |
| roi-soleil | 0.61 |
| prince | 0.58 |
| viscount | 0.55 |
| reine | 0.51 |
| Term | Similarity |
|---|---|
| roi | 1.00 |
| king | 0.84 |
| souverain | 0.84 |
| roi-soleil | 0.83 |
| monarque | 0.77 |
| monarch | 0.74 |
| reine | 0.74 |
| ville | 0.73 |
| duc | 0.67 |
| viscount | 0.66 |
Time to compute vectorization examples: 9,6 s
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | King - Man + Woman | Queen (0.68) | Queen (0.68) Femme (0.65) Woman (0.65) Princess (0.56) Princesse (0.55) Countess (0.51) |
✔ | 0.03 |
| en | Queen - Woman + Man | King (0.62) | Man (0.69) King (0.62) Monarch (0.53) Monarque (0.53) Souverain (0.50) Viscount (0.48) |
✖ | |
| fr | Roi - Homme + Femme | Reine (0.47) | Femme (0.66) Woman (0.65) Roi (0.60) Reine (0.47) Femme-médecin (0.46) Princesse (0.45) |
✖ | |
| fr | Reine - Femme + Homme | Roi (0.52) | Homme (0.78) Reine (0.64) Comptesse (0.62) Compte (0.59) Roi-soleil (0.59) Souverain (0.58) |
✖ | |
| en | Paris - France + Germany | Berlin (0.84) | Germany (0.84) Berlin (0.84) Allemagne (0.82) Frankfurt (0.71) Paris (0.54) Metropolis (0.48) |
✖ | |
| fr | Paris - France + Allemagne | Berlin (0.84) | Allemagne (0.84) Berlin (0.84) Germany (0.84) Frankfurt (0.72) Paris (0.58) Metropolis (0.53) |
✖ | |
| en | Paris - France + England | London (0.79) | England (0.83) London (0.79) Londres (0.79) Viscount (0.45) City (0.43) Metropolis (0.43) |
✖ | |
| fr | Paris - France + Angletterre | Londres (0.41) | Angletterre (0.85) Comptesse (0.59) Données (0.58) Roi-soleil (0.57) Reine (0.56) Compte (0.56) |
✖ | |
| fr | Roi - Homme + Ville | Capitale (0.30) | Ville (0.73) Roi (0.66) Roi-soleil (0.51) Francfort (0.46) Reine (0.45) Paris (0.39) |
✖ | |
| en | King - Man + City | Capital city (0.56) | City (0.64) King (0.58) Capital city (0.56) Metropolis (0.54) Queen (0.52) Monarque (0.48) |
✖ | |
| fr | Infirmier - Homme + Femme | Infirmière (0.64) | Woman (0.66) Infirmier (0.66) Femme (0.65) Infirmière (0.64) Femme-médecin (0.63) Female doctor (0.62) |
✖ | |
| fr | Infirmière - Femme + Homme | Infirmier (0.50) | Homme (0.74) Médecine (0.52) Infirmière (0.52) Infirmier (0.50) Médecin (0.50) Docteur (0.49) |
✖ | |
| fr | Médecin - Homme + Femme | Femme-médecin (0.78) | Femme-médecin (0.78) Female doctor (0.76) Doctoresse (0.70) Femme (0.65) Médecin (0.65) Woman (0.64) |
✔ | 0.03 |
| fr | Docteur - Homme + Femme | Docteur (0.64) | Female doctor (0.79) Femme-médecin (0.74) Doctoresse (0.74) Femme (0.65) Woman (0.64) Docteur (0.64) |
✖ | |
| fr | Doctoresse - Femme + Homme | Docteur (0.65) | Homme (0.66) Docteur (0.65) Doctor (0.63) Médecine (0.61) Médecin (0.60) Doctoresse (0.54) |
✖ | |
| en | Doctor - Man + Woman | Female doctor (0.86) | Female doctor (0.86) Femme-médecin (0.74) Doctoresse (0.70) Woman (0.69) Femme (0.68) Infirmière (0.65) |
✔ | 0.12 |
| en | Female doctor - Woman + Man | Doctor (0.72) | Doctor (0.72) Man (0.72) Docteur (0.69) Médecine (0.61) Médecin (0.61) Doctoresse (0.51) |
✔ | 0.00 |
| fr | Médecine - Femme + Homme | Médecine (0.63) | Homme (0.65) Médecine (0.63) Médecin (0.62) Docteur (0.60) Doctor (0.57) Medicine (0.55) |
✖ | |
| en | Capital + City | Capital city (0.92) | Capital city (0.92) Capitale (0.87) Capital (0.87) City (0.87) Metropolis (0.76) Métropole (0.60) |
✔ | 0.05 |
| en | Woman + Doctor | Doctor (0.77) | Female doctor (0.88) Femme-médecin (0.85) Doctoresse (0.85) Docteur (0.79) Doctor (0.77) Woman (0.77) |
✖ | |
| fr | Femme + Médecin | Femme-médecin (0.94) | Femme-médecin (0.94) Female doctor (0.81) Doctoresse (0.81) Médecin (0.81) Femme (0.81) Médecine (0.80) |
✔ | 0.13 |
| fr | Roi + Soleil | Roi-soleil (0.79) | Roi (0.86) Soleil (0.86) Roi-soleil (0.79) Reine (0.76) Comptesse (0.71) Compte (0.71) |
✖ | |
| fr | Base + Données | Base de données (0.45) | Base (0.83) Données (0.83) Comptesse (0.81) Reine (0.79) Compte (0.77) Roi-soleil (0.74) |
✖ | |
| en | Database + Management + System | Database management system (0.81) | Système de gestion de base de données (0.83) Database management system (0.81) System (0.77) Management (0.75) Database (0.74) Base de données (0.73) |
✖ | |
| en | avg(King, Queen, Prince, Princess) | Monarch (0.73) | Princesse (0.79) Monarch (0.73) Monarque (0.72) Souverain (0.63) Countess (0.60) Viscount (0.59) |
✖ | |
| fr | avg(Roi, Reine, Prince, Princesse) | Monarque (0.57) | Données (0.73) Roi-soleil (0.73) Princess (0.71) Souverain (0.69) Compte (0.68) Comptesse (0.67) |
✖ | |
| en | avg(Mysql, Oracle, Postgresql, Mariadb) | Database (0.70) | Database (0.70) Base de données (0.67) Système de gestion de base de données (0.62) Database management system (0.60) Reine (0.54) Comptesse (0.54) |
✔ | 0.03 |
| en | avg(Mysql, Mariadb) | Database (0.63) | Database (0.63) Base de données (0.60) Reine (0.55) Système de gestion de base de données (0.55) Postgresql (0.54) Données (0.53) |
✔ | 0.03 |
| en | avg(Paris, London, Berlin, Madrid) | City (0.60) | Londres (0.76) Francfort (0.67) Allemagne (0.65) France (0.62) Metropolis (0.62) Germany (0.61) |
✖ |
| Term | Similarity |
|---|---|
| King | 1.00 |
| Monarch | 0.70 |
| Monarque | 0.68 |
| Souverain | 0.65 |
| Queen | 0.63 |
| Prince | 0.57 |
| Viscount | 0.56 |
| Roi-soleil | 0.52 |
| Duc | 0.50 |
| Roi | 0.46 |
| Term | Similarity |
|---|---|
| Roi | 1.00 |
| Reine | 0.70 |
| Roi-soleil | 0.65 |
| Données | 0.62 |
| Compte | 0.61 |
| Comptesse | 0.61 |
| Souverain | 0.53 |
| Angletterre | 0.50 |
| Sgbd | 0.49 |
| Francfort | 0.49 |
Time to compute vectorization examples: 7,0 s
| Title | Value |
|---|---|
| Model | paraphrase-multilingual |
| Ollama link | https://ollama.com/paraphrase/multilingual |
| Hugging Face link | https://huggingface.co/paraphrase/multilingual |
| Architecture | bert |
| Parameters | 277.45M |
| Model size (disk) | 536,7 MB |
| Context length | 512 |
| Dimensions | 768 |
| Quantization | F16 |
| Distinct token count | 250002 |
| Ollama model — last updated on | 01/01/0001 |
| Hugging Face model — created on | |
| Hugging Face model — last updated on |
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | king - man + woman | queen (0.68) | queen (0.68) woman (0.65) femme (0.59) princesse (0.56) princess (0.55) reine (0.54) |
✔ | 0.03 |
| en | queen - woman + man | king (0.63) | man (0.70) homme (0.68) king (0.63) roi (0.58) souverain (0.58) monarque (0.54) |
✖ | |
| fr | roi - homme + femme | reine (0.75) | reine (0.75) queen (0.71) femme (0.71) princesse (0.65) woman (0.64) roi (0.63) |
✔ | 0.04 |
| fr | reine - femme + homme | roi (0.67) | homme (0.78) man (0.76) roi (0.67) souverain (0.65) ville (0.58) king (0.56) |
✖ | |
| en | paris - france + germany | berlin (0.80) | germany (0.87) berlin (0.80) frankfurt (0.69) allemagne (0.50) paris (0.47) métropole (0.45) |
✖ | |
| fr | paris - france + allemagne | berlin (0.57) | allemagne (0.86) paris (0.79) ville (0.69) roi-soleil (0.68) métropole (0.61) france (0.61) |
✖ | |
| en | paris - france + england | london (0.77) | england (0.86) london (0.77) londres (0.76) ville (0.50) souverain (0.49) métropole (0.47) |
✖ | |
| fr | paris - france + angletterre | londres (0.49) | angletterre (0.87) ville (0.65) comptesse (0.61) duc (0.54) roi-soleil (0.53) compte (0.52) |
✖ | |
| fr | roi - homme + ville | capitale (0.41) | roi (0.82) roi-soleil (0.76) ville (0.75) reine (0.73) souverain (0.71) monarque (0.63) |
✖ | |
| en | king - man + city | capital city (0.58) | city (0.64) capital city (0.58) king (0.58) métropole (0.55) metropolis (0.53) queen (0.49) |
✖ | |
| fr | infirmier - homme + femme | infirmière (0.80) | infirmière (0.80) femme-médecin (0.78) female doctor (0.77) nurse (0.77) infirmier (0.71) woman (0.71) |
✔ | 0.02 |
| fr | infirmière - femme + homme | infirmier (0.62) | man (0.71) homme (0.69) médecin (0.63) infirmier (0.62) docteur (0.60) doctor (0.59) |
✖ | |
| fr | médecin - homme + femme | femme-médecin (0.87) | female doctor (0.88) femme-médecin (0.87) doctoresse (0.80) infirmière (0.74) femme (0.72) nurse (0.70) |
✖ | |
| fr | docteur - homme + femme | docteur (0.64) | female doctor (0.87) femme-médecin (0.85) doctoresse (0.80) infirmière (0.72) femme (0.70) nurse (0.68) |
✖ | |
| fr | doctoresse - femme + homme | docteur (0.76) | doctor (0.76) médecin (0.76) docteur (0.76) man (0.72) homme (0.69) doctoresse (0.59) |
✖ | |
| en | doctor - man + woman | female doctor (0.87) | female doctor (0.87) femme-médecin (0.77) doctoresse (0.71) woman (0.69) infirmière (0.66) nurse (0.65) |
✔ | 0.10 |
| en | female doctor - woman + man | doctor (0.72) | man (0.73) doctor (0.72) médecin (0.71) docteur (0.71) homme (0.69) doctoresse (0.54) |
✖ | |
| fr | médecine - femme + homme | médecine (0.65) | man (0.71) homme (0.68) médecine (0.65) médecin (0.64) docteur (0.63) doctor (0.61) |
✖ | |
| en | capital + city | capital city (0.92) | capital city (0.92) capitale (0.88) city (0.86) capital (0.86) métropole (0.82) metropolis (0.77) |
✔ | 0.04 |
| en | woman + doctor | doctor (0.77) | femme-médecin (0.90) female doctor (0.89) doctoresse (0.87) médecin (0.80) docteur (0.79) femme (0.78) |
✖ | |
| fr | femme + médecin | femme-médecin (0.91) | femme-médecin (0.91) doctoresse (0.87) médecin (0.84) femme (0.84) docteur (0.83) female doctor (0.80) |
✔ | 0.05 |
| fr | roi + soleil | roi-soleil (0.81) | soleil (0.85) roi (0.85) roi-soleil (0.81) souverain (0.77) ville (0.74) reine (0.70) |
✖ | |
| fr | base + données | base de données (0.67) | base (0.82) données (0.82) base de données (0.67) comptesse (0.65) compte (0.62) sgbd (0.61) |
✖ | |
| en | database + management + system | database management system (0.80) | système de gestion de base de données (0.85) database management system (0.80) system (0.76) management (0.75) base de données (0.73) database (0.73) |
✖ | |
| en | avg(king, queen, prince, princess) | monarch (0.71) | princesse (0.82) roi (0.77) monarque (0.74) souverain (0.73) reine (0.72) monarch (0.71) |
✖ | |
| fr | avg(roi, reine, prince, princesse) | monarque (0.73) | souverain (0.78) princess (0.78) queen (0.74) monarque (0.73) roi-soleil (0.72) monarch (0.70) |
✖ | |
| en | avg(mysql, oracle, postgresql, mariadb) | database (0.60) | database (0.60) base de données (0.60) comptesse (0.59) reine (0.56) ville (0.54) roi (0.54) |
✔ | 0.00 |
| en | avg(mysql, mariadb) | database (0.55) | database (0.55) base de données (0.55) reine (0.54) postgresql (0.52) comptesse (0.51) système de gestion de base de données (0.48) |
✔ | 0.00 |
| en | avg(paris, london, berlin, madrid) | city (0.60) | londres (0.73) allemagne (0.69) métropole (0.67) france (0.64) metropolis (0.63) barcelone (0.61) |
✖ |
| Term | Similarity |
|---|---|
| king | 1.00 |
| roi | 0.84 |
| souverain | 0.74 |
| monarque | 0.73 |
| monarch | 0.71 |
| queen | 0.63 |
| roi-soleil | 0.61 |
| prince | 0.58 |
| viscount | 0.55 |
| reine | 0.51 |
| Term | Similarity |
|---|---|
| roi | 1.00 |
| king | 0.84 |
| souverain | 0.84 |
| roi-soleil | 0.83 |
| monarque | 0.77 |
| monarch | 0.74 |
| reine | 0.74 |
| ville | 0.73 |
| duc | 0.67 |
| viscount | 0.66 |
Time to compute vectorization examples: 6,9 s
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | King - Man + Woman | Queen (0.68) | Queen (0.68) Femme (0.65) Woman (0.65) Princess (0.56) Princesse (0.55) Countess (0.51) |
✔ | 0.03 |
| en | Queen - Woman + Man | King (0.62) | Man (0.69) King (0.62) Monarch (0.53) Monarque (0.53) Souverain (0.50) Viscount (0.48) |
✖ | |
| fr | Roi - Homme + Femme | Reine (0.47) | Femme (0.66) Woman (0.65) Roi (0.60) Reine (0.47) Femme-médecin (0.46) Princesse (0.45) |
✖ | |
| fr | Reine - Femme + Homme | Roi (0.52) | Homme (0.78) Reine (0.64) Comptesse (0.62) Compte (0.59) Roi-soleil (0.59) Souverain (0.58) |
✖ | |
| en | Paris - France + Germany | Berlin (0.84) | Germany (0.84) Berlin (0.84) Allemagne (0.82) Frankfurt (0.71) Paris (0.54) Metropolis (0.48) |
✖ | |
| fr | Paris - France + Allemagne | Berlin (0.84) | Allemagne (0.84) Berlin (0.84) Germany (0.84) Frankfurt (0.72) Paris (0.58) Metropolis (0.53) |
✖ | |
| en | Paris - France + England | London (0.79) | England (0.83) London (0.79) Londres (0.79) Viscount (0.45) City (0.43) Metropolis (0.43) |
✖ | |
| fr | Paris - France + Angletterre | Londres (0.41) | Angletterre (0.85) Comptesse (0.59) Données (0.58) Roi-soleil (0.57) Reine (0.56) Compte (0.56) |
✖ | |
| fr | Roi - Homme + Ville | Capitale (0.30) | Ville (0.73) Roi (0.66) Roi-soleil (0.51) Francfort (0.46) Reine (0.45) Paris (0.39) |
✖ | |
| en | King - Man + City | Capital city (0.56) | City (0.64) King (0.58) Capital city (0.56) Metropolis (0.54) Queen (0.52) Monarque (0.48) |
✖ | |
| fr | Infirmier - Homme + Femme | Infirmière (0.64) | Woman (0.66) Infirmier (0.66) Femme (0.65) Infirmière (0.64) Femme-médecin (0.63) Female doctor (0.62) |
✖ | |
| fr | Infirmière - Femme + Homme | Infirmier (0.50) | Homme (0.74) Médecine (0.52) Infirmière (0.52) Infirmier (0.50) Médecin (0.50) Docteur (0.49) |
✖ | |
| fr | Médecin - Homme + Femme | Femme-médecin (0.78) | Femme-médecin (0.78) Female doctor (0.76) Doctoresse (0.70) Femme (0.65) Médecin (0.65) Woman (0.64) |
✔ | 0.03 |
| fr | Docteur - Homme + Femme | Docteur (0.64) | Female doctor (0.79) Femme-médecin (0.74) Doctoresse (0.74) Femme (0.65) Woman (0.64) Docteur (0.64) |
✖ | |
| fr | Doctoresse - Femme + Homme | Docteur (0.65) | Homme (0.66) Docteur (0.65) Doctor (0.63) Médecine (0.61) Médecin (0.60) Doctoresse (0.54) |
✖ | |
| en | Doctor - Man + Woman | Female doctor (0.86) | Female doctor (0.86) Femme-médecin (0.74) Doctoresse (0.70) Woman (0.69) Femme (0.68) Infirmière (0.65) |
✔ | 0.12 |
| en | Female doctor - Woman + Man | Doctor (0.72) | Doctor (0.72) Man (0.72) Docteur (0.69) Médecine (0.61) Médecin (0.61) Doctoresse (0.51) |
✔ | 0.00 |
| fr | Médecine - Femme + Homme | Médecine (0.63) | Homme (0.65) Médecine (0.63) Médecin (0.62) Docteur (0.60) Doctor (0.57) Medicine (0.55) |
✖ | |
| en | Capital + City | Capital city (0.92) | Capital city (0.92) Capitale (0.87) Capital (0.87) City (0.87) Metropolis (0.76) Métropole (0.60) |
✔ | 0.05 |
| en | Woman + Doctor | Doctor (0.77) | Female doctor (0.88) Femme-médecin (0.85) Doctoresse (0.85) Docteur (0.79) Doctor (0.77) Woman (0.77) |
✖ | |
| fr | Femme + Médecin | Femme-médecin (0.94) | Femme-médecin (0.94) Female doctor (0.81) Doctoresse (0.81) Médecin (0.81) Femme (0.81) Médecine (0.80) |
✔ | 0.13 |
| fr | Roi + Soleil | Roi-soleil (0.79) | Roi (0.86) Soleil (0.86) Roi-soleil (0.79) Reine (0.76) Comptesse (0.71) Compte (0.71) |
✖ | |
| fr | Base + Données | Base de données (0.45) | Base (0.83) Données (0.83) Comptesse (0.81) Reine (0.79) Compte (0.77) Roi-soleil (0.74) |
✖ | |
| en | Database + Management + System | Database management system (0.81) | Système de gestion de base de données (0.83) Database management system (0.81) System (0.77) Management (0.75) Database (0.74) Base de données (0.73) |
✖ | |
| en | avg(King, Queen, Prince, Princess) | Monarch (0.73) | Princesse (0.79) Monarch (0.73) Monarque (0.72) Souverain (0.63) Countess (0.60) Viscount (0.59) |
✖ | |
| fr | avg(Roi, Reine, Prince, Princesse) | Monarque (0.57) | Données (0.73) Roi-soleil (0.73) Princess (0.71) Souverain (0.69) Compte (0.68) Comptesse (0.67) |
✖ | |
| en | avg(Mysql, Oracle, Postgresql, Mariadb) | Database (0.70) | Database (0.70) Base de données (0.67) Système de gestion de base de données (0.62) Database management system (0.60) Reine (0.54) Comptesse (0.54) |
✔ | 0.03 |
| en | avg(Mysql, Mariadb) | Database (0.63) | Database (0.63) Base de données (0.60) Reine (0.55) Système de gestion de base de données (0.55) Postgresql (0.54) Données (0.53) |
✔ | 0.03 |
| en | avg(Paris, London, Berlin, Madrid) | City (0.60) | Londres (0.76) Francfort (0.67) Allemagne (0.65) France (0.62) Metropolis (0.62) Germany (0.61) |
✖ |
| Term | Similarity |
|---|---|
| King | 1.00 |
| Monarch | 0.70 |
| Monarque | 0.68 |
| Souverain | 0.65 |
| Queen | 0.63 |
| Prince | 0.57 |
| Viscount | 0.56 |
| Roi-soleil | 0.52 |
| Duc | 0.50 |
| Roi | 0.46 |
| Term | Similarity |
|---|---|
| Roi | 1.00 |
| Reine | 0.70 |
| Roi-soleil | 0.65 |
| Données | 0.62 |
| Compte | 0.61 |
| Comptesse | 0.61 |
| Souverain | 0.53 |
| Angletterre | 0.50 |
| Sgbd | 0.49 |
| Francfort | 0.49 |
Time to compute vectorization examples: 7,1 s
| Title | Value |
|---|---|
| Model | zylonai/multilingual-e5-large |
| Ollama link | https://ollama.com/zylonai/multilingual-e5-large |
| Hugging Face link | https://huggingface.co/intfloat/multilingual-e5-large |
| Architecture | bert |
| Parameters | 558.84M |
| Model size (disk) | 2,1 GB |
| Context length | 512 |
| Dimensions | 1024 |
| Quantization | unknown |
| Distinct token count | 250002 |
| Ollama model — last updated on | 27/08/2024 |
| Hugging Face model — created on | 30/06/2023 |
| Hugging Face model — last updated on | 02/04/2026 |
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | king - man + woman | queen (0.85) | king (0.91) woman (0.86) monarch (0.85) queen (0.85) princess (0.83) roi (0.82) |
✖ | |
| en | queen - woman + man | king (0.85) | queen (0.91) man (0.87) king (0.85) monarch (0.83) monarque (0.82) homme (0.81) |
✖ | |
| fr | roi - homme + femme | reine (0.82) | roi (0.93) femme (0.84) queen (0.82) reine (0.82) king (0.82) monarch (0.81) |
✖ | |
| fr | reine - femme + homme | roi (0.81) | reine (0.92) homme (0.87) roi-soleil (0.81) roi (0.81) man (0.81) monarque (0.81) |
✖ | |
| en | paris - france + germany | berlin (0.88) | germany (0.93) paris (0.92) berlin (0.88) madrid (0.85) london (0.85) allemagne (0.84) |
✖ | |
| fr | paris - france + allemagne | berlin (0.86) | allemagne (0.93) paris (0.88) berlin (0.86) germany (0.84) london (0.82) barcelone (0.82) |
✖ | |
| en | paris - france + england | london (0.88) | england (0.93) paris (0.91) london (0.88) londres (0.86) madrid (0.85) barcelona (0.85) |
✖ | |
| fr | paris - france + angletterre | londres (0.82) | angletterre (0.93) londres (0.82) paris (0.81) capitale (0.79) london (0.79) comptesse (0.79) |
✖ | |
| fr | roi - homme + ville | capitale (0.76) | roi (0.88) ville (0.85) city (0.78) king (0.78) monarch (0.77) roi-soleil (0.76) |
✖ | |
| en | king - man + city | capital city (0.79) | king (0.88) city (0.88) monarch (0.81) roi (0.80) capital (0.79) queen (0.79) |
✖ | |
| fr | infirmier - homme + femme | infirmière (0.91) | infirmier (0.93) infirmière (0.91) femme (0.87) nurse (0.87) woman (0.84) female doctor (0.83) |
✖ | |
| fr | infirmière - femme + homme | infirmier (0.91) | infirmière (0.92) infirmier (0.91) homme (0.89) médecin (0.87) docteur (0.86) médecine (0.85) |
✖ | |
| fr | médecin - homme + femme | femme-médecin (0.86) | médecin (0.92) femme (0.90) docteur (0.88) infirmière (0.88) female doctor (0.87) doctor (0.87) |
✖ | |
| fr | docteur - homme + femme | docteur (0.93) | docteur (0.93) femme (0.88) doctoresse (0.88) infirmière (0.87) médecin (0.86) infirmier (0.86) |
✔ | 0.05 |
| fr | doctoresse - femme + homme | docteur (0.87) | doctoresse (0.92) homme (0.89) docteur (0.87) médecin (0.87) médecine (0.85) infirmière (0.83) |
✖ | |
| en | doctor - man + woman | female doctor (0.88) | doctor (0.91) woman (0.88) female doctor (0.88) nurse (0.86) medicine (0.84) médecin (0.84) |
✖ | |
| en | female doctor - woman + man | doctor (0.87) | female doctor (0.90) man (0.89) doctor (0.87) médecin (0.84) homme (0.84) medicine (0.83) |
✖ | |
| fr | médecine - femme + homme | médecine (0.93) | médecine (0.93) homme (0.87) médecin (0.86) docteur (0.85) medicine (0.84) infirmier (0.81) |
✔ | 0.05 |
| en | capital + city | capital city (0.93) | city (0.97) capital (0.97) capitale (0.94) capital city (0.93) town (0.91) metropolis (0.91) |
✖ | |
| en | woman + doctor | doctor (0.97) | doctor (0.97) woman (0.97) nurse (0.93) female doctor (0.93) medicine (0.92) médecin (0.91) |
✔ | 0.00 |
| fr | femme + médecin | femme-médecin (0.91) | médecin (0.97) femme (0.97) homme (0.93) docteur (0.93) infirmière (0.93) doctoresse (0.92) |
✖ | |
| fr | roi + soleil | roi-soleil (0.92) | soleil (0.96) roi (0.96) roi-soleil (0.92) médecin (0.88) king (0.88) monarch (0.88) |
✖ | |
| fr | base + données | base de données (0.91) | données (0.96) base (0.96) database (0.93) base de données (0.91) compte (0.89) medicine (0.88) |
✖ | |
| en | database + management + system | database management system (0.91) | database (0.95) system (0.95) management (0.95) medicine (0.91) database management system (0.91) base (0.90) |
✖ | |
| en | avg(king, queen, prince, princess) | monarch (0.93) | princesse (0.94) monarch (0.93) monarque (0.91) sovereign (0.90) souverain (0.90) doctor (0.89) |
✖ | |
| fr | avg(roi, reine, prince, princesse) | monarque (0.92) | princess (0.93) king (0.92) monarque (0.92) monarch (0.91) queen (0.91) souverain (0.90) |
✖ | |
| en | avg(mysql, oracle, postgresql, mariadb) | database (0.91) | database (0.91) dbms (0.91) base de données (0.89) database management system (0.89) système de gestion de base de données (0.89) compte (0.88) |
✔ | 0.01 |
| en | avg(mysql, mariadb) | database (0.90) | postgresql (0.91) database (0.90) dbms (0.89) base de données (0.88) database management system (0.88) oracle (0.88) |
✖ | |
| en | avg(paris, london, berlin, madrid) | city (0.89) | barcelone (0.93) barcelona (0.93) france (0.92) germany (0.92) londres (0.91) england (0.90) |
✖ |
| Term | Similarity |
|---|---|
| king | 1.00 |
| monarch | 0.93 |
| prince | 0.90 |
| queen | 0.89 |
| roi | 0.89 |
| souverain | 0.88 |
| monarque | 0.87 |
| sovereign | 0.87 |
| capital | 0.87 |
| duke | 0.86 |
| Term | Similarity |
|---|---|
| roi | 1.00 |
| king | 0.89 |
| roi-soleil | 0.87 |
| monarch | 0.87 |
| monarque | 0.86 |
| reine | 0.86 |
| queen | 0.86 |
| souverain | 0.85 |
| soleil | 0.85 |
| capitale | 0.85 |
Time to compute vectorization examples: 16,1 s
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | King - Man + Woman | Queen (0.83) | King (0.91) Queen (0.83) Woman (0.83) Roi (0.81) Princess (0.81) Reine (0.79) |
✖ | |
| en | Queen - Woman + Man | King (0.83) | Queen (0.91) Man (0.83) King (0.83) Prince (0.79) Roi (0.79) England (0.77) |
✖ | |
| fr | Roi - Homme + Femme | Reine (0.81) | Roi (0.93) Femme (0.83) King (0.82) Roi-soleil (0.81) Reine (0.81) Queen (0.80) |
✖ | |
| fr | Reine - Femme + Homme | Roi (0.80) | Reine (0.93) Homme (0.83) Roi (0.80) Capitale (0.79) Monarque (0.79) Roi-soleil (0.79) |
✖ | |
| en | Paris - France + Germany | Berlin (0.87) | Paris (0.89) Germany (0.87) Berlin (0.87) London (0.81) Barcelona (0.80) Madrid (0.79) |
✖ | |
| fr | Paris - France + Allemagne | Berlin (0.80) | Allemagne (0.88) Paris (0.85) Berlin (0.80) Metropolis (0.77) Capitale (0.77) Londres (0.77) |
✖ | |
| en | Paris - France + England | London (0.83) | England (0.88) Paris (0.88) London (0.83) Londres (0.81) Barcelona (0.79) City (0.78) |
✖ | |
| fr | Paris - France + Angletterre | Londres (0.75) | Angletterre (0.88) Paris (0.80) Londres (0.75) Capitale (0.73) Metropolis (0.72) City (0.72) |
✖ | |
| fr | Roi - Homme + Ville | Capitale (0.71) | Roi (0.86) Ville (0.85) King (0.77) Roi-soleil (0.75) City (0.74) Reine (0.73) |
✖ | |
| en | King - Man + City | Capital city (0.73) | King (0.87) City (0.85) Roi (0.77) Queen (0.76) Ville (0.73) Capital city (0.73) |
✖ | |
| fr | Infirmier - Homme + Femme | Infirmière (0.91) | Infirmier (0.93) Infirmière (0.91) Femme (0.84) Femme-médecin (0.83) Nurse (0.83) Female doctor (0.82) |
✖ | |
| fr | Infirmière - Femme + Homme | Infirmier (0.91) | Infirmière (0.93) Infirmier (0.91) Homme (0.85) Médecin (0.84) Docteur (0.83) Médecine (0.83) |
✖ | |
| fr | Médecin - Homme + Femme | Femme-médecin (0.89) | Médecin (0.93) Médecine (0.90) Femme-médecin (0.89) Femme (0.85) Medicine (0.84) Docteur (0.83) |
✖ | |
| fr | Docteur - Homme + Femme | Docteur (0.93) | Docteur (0.93) Doctoresse (0.87) Femme (0.86) Female doctor (0.85) Femme-médecin (0.85) Doctor (0.85) |
✔ | 0.06 |
| fr | Doctoresse - Femme + Homme | Docteur (0.87) | Doctoresse (0.93) Docteur (0.87) Homme (0.87) Médecin (0.83) Infirmière (0.83) Médecine (0.82) |
✖ | |
| en | Doctor - Man + Woman | Female doctor (0.86) | Doctor (0.92) Woman (0.87) Female doctor (0.86) Medicine (0.83) Doctoresse (0.82) Docteur (0.82) |
✖ | |
| en | Female doctor - Woman + Man | Doctor (0.84) | Female doctor (0.91) Man (0.87) Doctor (0.84) Medicine (0.82) Doctoresse (0.81) Docteur (0.80) |
✖ | |
| fr | Médecine - Femme + Homme | Médecine (0.93) | Médecine (0.93) Médecin (0.91) Homme (0.85) Medicine (0.83) Docteur (0.82) Femme-médecin (0.80) |
✔ | 0.02 |
| en | Capital + City | Capital city (0.90) | City (0.96) Capital (0.96) Capitale (0.92) Capital city (0.90) Town (0.88) Londres (0.88) |
✖ | |
| en | Woman + Doctor | Doctor (0.96) | Woman (0.96) Doctor (0.96) Female doctor (0.91) Medicine (0.91) Man (0.91) Nurse (0.89) |
✖ | |
| fr | Femme + Médecin | Femme-médecin (0.94) | Femme (0.95) Médecin (0.95) Médecine (0.94) Femme-médecin (0.94) Homme (0.93) Docteur (0.91) |
✖ | |
| fr | Roi + Soleil | Roi-soleil (0.93) | Roi (0.96) Soleil (0.96) Roi-soleil (0.93) Souverain (0.88) Monarch (0.87) Monarque (0.87) |
✖ | |
| fr | Base + Données | Base de données (0.90) | Base (0.96) Données (0.96) Database (0.91) Base de données (0.90) Homme (0.88) Femme (0.87) |
✖ | |
| en | Database + Management + System | Database management system (0.91) | System (0.95) Management (0.95) Database (0.95) Database management system (0.91) Medicine (0.90) Système de gestion de base de données (0.89) |
✖ | |
| en | avg(King, Queen, Prince, Princess) | Monarch (0.87) | Princesse (0.89) Roi (0.88) Duke (0.88) Doctor (0.87) Monarch (0.87) Paris (0.86) |
✖ | |
| fr | avg(Roi, Reine, Prince, Princesse) | Monarque (0.89) | Princess (0.93) King (0.89) Queen (0.89) Monarque (0.89) Monarch (0.88) Souverain (0.88) |
✖ | |
| en | avg(Mysql, Oracle, Postgresql, Mariadb) | Database (0.91) | Database (0.91) Database management system (0.88) Système de gestion de base de données (0.87) Dbms (0.87) Base de données (0.87) Management (0.87) |
✔ | 0.03 |
| en | avg(Mysql, Mariadb) | Database (0.90) | Database (0.90) Postgresql (0.90) Database management system (0.87) Oracle (0.86) Base de données (0.86) Système de gestion de base de données (0.86) |
✔ | 0.01 |
| en | avg(Paris, London, Berlin, Madrid) | City (0.87) | Londres (0.92) Barcelona (0.90) France (0.88) Germany (0.88) Frankfurt (0.88) City (0.87) |
✖ |
| Term | Similarity |
|---|---|
| King | 1.00 |
| Queen | 0.88 |
| Roi | 0.88 |
| Duke | 0.84 |
| City | 0.83 |
| England | 0.83 |
| Princess | 0.83 |
| Prince | 0.83 |
| Doctor | 0.82 |
| Reine | 0.82 |
| Term | Similarity |
|---|---|
| Roi | 1.00 |
| Roi-soleil | 0.89 |
| King | 0.88 |
| Souverain | 0.85 |
| Monarque | 0.85 |
| Monarch | 0.85 |
| Reine | 0.84 |
| Queen | 0.84 |
| Sovereign | 0.83 |
| Soleil | 0.83 |
Time to compute vectorization examples: 10,4 s
| Title | Value |
|---|---|
| Model | snowflake-arctic-embed2 |
| Ollama link | https://ollama.com/library/snowflake-arctic-embed2 |
| Hugging Face link | https://huggingface.co/Snowflake/snowflake-arctic-embed-l-v2.0 |
| Architecture | bert |
| Parameters | 566.70M |
| Model size (disk) | 1,1 GB |
| Context length | 8192 |
| Dimensions | 1024 |
| Quantization | F16 |
| Distinct token count | 250002 |
| Ollama model — last updated on | 04/12/2024 |
| Hugging Face model — created on | 08/11/2024 |
| Hugging Face model — last updated on | 28/07/2025 |
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | king - man + woman | queen (0.52) | king (0.63) woman (0.58) queen (0.52) femme (0.47) reine (0.45) princess (0.45) |
✖ | |
| en | queen - woman + man | king (0.55) | queen (0.65) man (0.62) king (0.55) monarch (0.49) monarque (0.46) prince (0.44) |
✖ | |
| fr | roi - homme + femme | reine (0.37) | roi (0.68) femme (0.42) reine (0.37) woman (0.35) roi-soleil (0.30) female doctor (0.30) |
✖ | |
| fr | reine - femme + homme | roi (0.35) | reine (0.66) homme (0.56) king (0.53) prince (0.51) man (0.46) monarque (0.44) |
✖ | |
| en | paris - france + germany | berlin (0.58) | germany (0.69) paris (0.67) berlin (0.58) allemagne (0.51) london (0.47) metropolis (0.47) |
✖ | |
| fr | paris - france + allemagne | berlin (0.55) | allemagne (0.69) paris (0.58) berlin (0.55) germany (0.50) london (0.44) metropolis (0.43) |
✖ | |
| en | paris - france + england | london (0.60) | england (0.71) paris (0.61) london (0.60) londres (0.59) metropolis (0.39) madrid (0.39) |
✖ | |
| fr | paris - france + angletterre | londres (0.35) | angletterre (0.74) paris (0.46) londres (0.35) metropolis (0.34) capitale (0.34) london (0.33) |
✖ | |
| fr | roi - homme + ville | capitale (0.32) | roi (0.65) ville (0.55) city (0.40) capital city (0.36) town (0.34) capitale (0.32) |
✖ | |
| en | king - man + city | capital city (0.47) | city (0.64) king (0.60) capital city (0.47) ville (0.41) london (0.34) capitale (0.34) |
✖ | |
| fr | infirmier - homme + femme | infirmière (0.82) | infirmière (0.82) infirmier (0.69) nurse (0.61) femme-médecin (0.59) femme (0.59) female doctor (0.55) |
✔ | 0.13 |
| fr | infirmière - femme + homme | infirmier (0.78) | infirmier (0.78) infirmière (0.64) homme (0.61) médecin (0.55) docteur (0.48) man (0.48) |
✔ | 0.14 |
| fr | médecin - homme + femme | femme-médecin (0.72) | femme-médecin (0.72) female doctor (0.68) médecin (0.66) doctoresse (0.62) femme (0.61) infirmière (0.57) |
✔ | 0.04 |
| fr | docteur - homme + femme | docteur (0.66) | doctoresse (0.69) female doctor (0.67) docteur (0.66) femme-médecin (0.65) femme (0.59) doctor (0.54) |
✖ | |
| fr | doctoresse - femme + homme | docteur (0.68) | docteur (0.68) doctoresse (0.65) médecin (0.61) doctor (0.60) homme (0.60) man (0.50) |
✔ | 0.03 |
| en | doctor - man + woman | female doctor (0.75) | female doctor (0.75) doctor (0.66) woman (0.61) doctoresse (0.59) femme-médecin (0.59) docteur (0.53) |
✔ | 0.09 |
| en | female doctor - woman + man | doctor (0.65) | doctor (0.65) médecin (0.63) man (0.63) docteur (0.58) female doctor (0.54) femme-médecin (0.46) |
✔ | 0.01 |
| fr | médecine - femme + homme | médecine (0.71) | médecine (0.71) medicine (0.62) médecin (0.61) homme (0.55) docteur (0.49) man (0.47) |
✔ | 0.09 |
| en | capital + city | capital city (0.89) | capital city (0.89) capital (0.83) city (0.83) capitale (0.81) ville (0.65) paris (0.56) |
✔ | 0.07 |
| en | woman + doctor | doctor (0.81) | doctor (0.81) woman (0.81) female doctor (0.73) docteur (0.71) femme-médecin (0.70) médecin (0.70) |
✔ | 0.00 |
| fr | femme + médecin | femme-médecin (0.78) | médecin (0.81) femme (0.81) femme-médecin (0.78) woman (0.71) doctor (0.66) female doctor (0.66) |
✖ | |
| fr | roi + soleil | roi-soleil (0.72) | soleil (0.77) roi (0.77) roi-soleil (0.72) reine (0.36) paris (0.34) man (0.32) |
✖ | |
| fr | base + données | base de données (0.77) | données (0.82) base (0.82) base de données (0.77) database (0.68) système de gestion de base de données (0.52) dbms (0.48) |
✖ | |
| en | database + management + system | database management system (0.82) | database management system (0.82) system (0.74) database (0.73) management (0.73) système de gestion de base de données (0.71) base de données (0.63) |
✔ | 0.08 |
| en | avg(king, queen, prince, princess) | monarch (0.68) | princesse (0.78) monarch (0.68) reine (0.65) monarque (0.59) countess (0.55) souverain (0.54) |
✖ | |
| fr | avg(roi, reine, prince, princesse) | monarque (0.58) | princess (0.74) monarque (0.58) monarch (0.58) queen (0.57) countess (0.56) king (0.56) |
✖ | |
| en | avg(mysql, oracle, postgresql, mariadb) | database (0.67) | database (0.67) dbms (0.61) database management system (0.60) base de données (0.58) système de gestion de base de données (0.56) données (0.42) |
✔ | 0.06 |
| en | avg(mysql, mariadb) | database (0.64) | database (0.64) database management system (0.59) dbms (0.57) base de données (0.56) postgresql (0.53) système de gestion de base de données (0.53) |
✔ | 0.05 |
| en | avg(paris, london, berlin, madrid) | city (0.54) | londres (0.71) barcelona (0.63) barcelone (0.61) metropolis (0.56) capital city (0.55) ville (0.54) |
✖ |
| Term | Similarity |
|---|---|
| king | 1.00 |
| monarch | 0.62 |
| prince | 0.54 |
| queen | 0.53 |
| reine | 0.48 |
| monarque | 0.48 |
| duke | 0.46 |
| souverain | 0.46 |
| vicomte | 0.43 |
| sovereign | 0.43 |
| Term | Similarity |
|---|---|
| roi | 1.00 |
| roi-soleil | 0.51 |
| reine | 0.34 |
| king | 0.27 |
| capitale | 0.27 |
| comptesse | 0.26 |
| capital | 0.26 |
| monarch | 0.26 |
| mariadb | 0.24 |
| données | 0.23 |
Time to compute vectorization examples: 12,4 s
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | King - Man + Woman | Queen (0.63) | King (0.70) Queen (0.63) Woman (0.60) Reine (0.54) Princess (0.52) Femme (0.50) |
✖ | |
| en | Queen - Woman + Man | King (0.63) | Queen (0.70) King (0.63) Man (0.63) Monarch (0.56) Prince (0.53) Roi (0.50) |
✖ | |
| fr | Roi - Homme + Femme | Reine (0.58) | Roi (0.78) Reine (0.58) Queen (0.55) Roi-soleil (0.53) Femme (0.52) Woman (0.47) |
✖ | |
| fr | Reine - Femme + Homme | Roi (0.55) | Reine (0.76) Homme (0.62) Prince (0.60) King (0.58) Roi (0.55) Man (0.52) |
✖ | |
| en | Paris - France + Germany | Berlin (0.63) | Paris (0.70) Germany (0.67) Berlin (0.63) London (0.59) Allemagne (0.59) Londres (0.55) |
✖ | |
| fr | Paris - France + Allemagne | Berlin (0.59) | Allemagne (0.68) Paris (0.67) Berlin (0.59) Germany (0.57) London (0.57) Londres (0.55) |
✖ | |
| en | Paris - France + England | London (0.69) | London (0.69) England (0.68) Londres (0.67) Paris (0.64) Madrid (0.47) Berlin (0.47) |
✔ | 0.00 |
| fr | Paris - France + Angletterre | Londres (0.39) | Angletterre (0.72) Paris (0.50) Londres (0.39) London (0.39) Capital city (0.34) Metropolis (0.33) |
✖ | |
| fr | Roi - Homme + Ville | Capitale (0.26) | Roi (0.65) Ville (0.64) City (0.46) Roi-soleil (0.45) Town (0.42) Reine (0.39) |
✖ | |
| en | King - Man + City | Capital city (0.46) | City (0.67) King (0.62) Capital city (0.46) Ville (0.45) Queen (0.37) Londres (0.35) |
✖ | |
| fr | Infirmier - Homme + Femme | Infirmière (0.86) | Infirmière (0.86) Infirmier (0.78) Femme-médecin (0.64) Nurse (0.63) Female doctor (0.58) Femme (0.56) |
✔ | 0.08 |
| fr | Infirmière - Femme + Homme | Infirmier (0.84) | Infirmier (0.84) Infirmière (0.75) Médecin (0.60) Homme (0.58) Nurse (0.56) Docteur (0.53) |
✔ | 0.09 |
| fr | Médecin - Homme + Femme | Femme-médecin (0.77) | Médecin (0.77) Femme-médecin (0.77) Médecine (0.66) Female doctor (0.64) Femme (0.63) Doctoresse (0.63) |
✖ | |
| fr | Docteur - Homme + Femme | Docteur (0.76) | Docteur (0.76) Doctoresse (0.73) Female doctor (0.71) Doctor (0.68) Femme-médecin (0.68) Médecin (0.58) |
✔ | 0.03 |
| fr | Doctoresse - Femme + Homme | Docteur (0.72) | Doctoresse (0.75) Docteur (0.72) Doctor (0.64) Médecin (0.61) Homme (0.60) Médecine (0.52) |
✖ | |
| en | Doctor - Man + Woman | Female doctor (0.73) | Female doctor (0.73) Doctor (0.72) Doctoresse (0.65) Docteur (0.64) Femme-médecin (0.61) Woman (0.61) |
✔ | 0.01 |
| en | Female doctor - Woman + Man | Doctor (0.66) | Doctor (0.66) Female doctor (0.64) Docteur (0.61) Man (0.60) Médecin (0.58) Femme-médecin (0.55) |
✔ | 0.01 |
| fr | Médecine - Femme + Homme | Médecine (0.80) | Médecine (0.80) Médecin (0.69) Medicine (0.69) Homme (0.60) Docteur (0.51) Man (0.51) |
✔ | 0.11 |
| en | Capital + City | Capital city (0.87) | Capital city (0.87) Capital (0.83) City (0.83) Capitale (0.72) Ville (0.64) London (0.58) |
✔ | 0.04 |
| en | Woman + Doctor | Doctor (0.83) | Woman (0.83) Doctor (0.83) Docteur (0.76) Femme-médecin (0.72) Médecin (0.71) Female doctor (0.71) |
✖ | |
| fr | Femme + Médecin | Femme-médecin (0.82) | Femme (0.85) Médecin (0.85) Femme-médecin (0.82) Woman (0.74) Homme (0.74) Médecine (0.73) |
✖ | |
| fr | Roi + Soleil | Roi-soleil (0.84) | Roi-soleil (0.84) Soleil (0.83) Roi (0.83) Reine (0.56) Monarch (0.54) Souverain (0.54) |
✔ | 0.01 |
| fr | Base + Données | Base de données (0.78) | Données (0.83) Base (0.83) Base de données (0.78) Database (0.69) Système de gestion de base de données (0.53) Count (0.51) |
✖ | |
| en | Database + Management + System | Database management system (0.79) | Database management system (0.79) System (0.77) Database (0.76) Management (0.75) Système de gestion de base de données (0.69) Base de données (0.67) |
✔ | 0.02 |
| en | avg(King, Queen, Prince, Princess) | Monarch (0.68) | Princesse (0.78) Reine (0.71) Monarch (0.68) Monarque (0.61) Roi (0.58) Duke (0.57) |
✖ | |
| fr | avg(Roi, Reine, Prince, Princesse) | Monarque (0.65) | Princess (0.79) Queen (0.69) Monarque (0.65) Monarch (0.65) King (0.64) Roi-soleil (0.61) |
✖ | |
| en | avg(Mysql, Oracle, Postgresql, Mariadb) | Database (0.70) | Database (0.70) Database management system (0.63) Dbms (0.61) Base de données (0.61) Système de gestion de base de données (0.58) Count (0.44) |
✔ | 0.07 |
| en | avg(Mysql, Mariadb) | Database (0.66) | Database (0.66) Base de données (0.59) Dbms (0.59) Database management system (0.59) Postgresql (0.55) Système de gestion de base de données (0.53) |
✔ | 0.07 |
| en | avg(Paris, London, Berlin, Madrid) | City (0.54) | Londres (0.81) Barcelone (0.66) Barcelona (0.64) Capital city (0.62) Frankfurt (0.58) Ville (0.57) |
✖ |
| Term | Similarity |
|---|---|
| King | 1.00 |
| Queen | 0.63 |
| Monarch | 0.59 |
| Prince | 0.58 |
| Reine | 0.55 |
| Roi | 0.53 |
| Duke | 0.52 |
| Monarque | 0.50 |
| Man | 0.49 |
| Souverain | 0.47 |
| Term | Similarity |
|---|---|
| Roi | 1.00 |
| Roi-soleil | 0.72 |
| Reine | 0.60 |
| Monarch | 0.54 |
| King | 0.53 |
| Queen | 0.52 |
| Monarque | 0.50 |
| Souverain | 0.47 |
| Duc | 0.46 |
| Prince | 0.45 |
Time to compute vectorization examples: 8,9 s
| Title | Value |
|---|---|
| Model | qwen3-embedding |
| Ollama link | https://ollama.com/library/qwen3-embedding |
| Hugging Face link | https://huggingface.co/Qwen/Qwen3-Embedding-4B |
| Architecture | qwen3 |
| Parameters | 7.6B |
| Model size (disk) | 4,4 GB |
| Context length | 40960 |
| Dimensions | 4096 |
| Quantization | Q4_K_M |
| Distinct token count | 151665 |
| Ollama model — last updated on | 23/09/2025 |
| Hugging Face model — created on | 03/06/2025 |
| Hugging Face model — last updated on | 20/06/2025 |
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | king - man + woman | queen (0.85) | queen (0.85) king (0.80) princess (0.77) princesse (0.75) woman (0.74) reine (0.74) |
✔ | 0.05 |
| en | queen - woman + man | king (0.84) | king (0.84) monarque (0.81) queen (0.79) monarch (0.78) man (0.78) prince (0.72) |
✔ | 0.03 |
| fr | roi - homme + femme | reine (0.67) | roi (0.83) femme (0.69) roi-soleil (0.67) reine (0.67) woman (0.64) duc (0.61) |
✖ | |
| fr | reine - femme + homme | roi (0.62) | reine (0.79) homme (0.78) man (0.77) monarque (0.75) monarch (0.74) king (0.73) |
✖ | |
| en | paris - france + germany | berlin (0.90) | berlin (0.90) germany (0.87) frankfurt (0.78) allemagne (0.78) paris (0.76) londres (0.74) |
✔ | 0.03 |
| fr | paris - france + allemagne | berlin (0.90) | berlin (0.90) allemagne (0.86) paris (0.86) germany (0.84) frankfurt (0.81) francfort (0.81) |
✔ | 0.03 |
| en | paris - france + england | london (0.89) | london (0.89) londres (0.89) england (0.87) paris (0.76) city (0.73) berlin (0.73) |
✔ | 0.01 |
| fr | paris - france + angletterre | londres (0.69) | angletterre (0.89) paris (0.71) londres (0.69) london (0.69) ville (0.68) city (0.68) |
✖ | |
| fr | roi - homme + ville | capitale (0.60) | ville (0.76) roi (0.75) city (0.68) town (0.65) métropole (0.62) capital (0.61) |
✖ | |
| en | king - man + city | capital city (0.70) | city (0.78) king (0.74) capital (0.73) queen (0.71) ville (0.70) capitale (0.70) |
✖ | |
| fr | infirmier - homme + femme | infirmière (0.85) | infirmière (0.85) infirmier (0.83) nurse (0.81) femme-médecin (0.74) doctoresse (0.72) femme (0.70) |
✔ | 0.03 |
| fr | infirmière - femme + homme | infirmier (0.83) | infirmier (0.83) infirmière (0.80) nurse (0.76) médecin (0.73) homme (0.72) man (0.69) |
✔ | 0.03 |
| fr | médecin - homme + femme | femme-médecin (0.88) | femme-médecin (0.88) doctoresse (0.83) female doctor (0.82) médecin (0.82) doctor (0.79) docteur (0.78) |
✔ | 0.05 |
| fr | docteur - homme + femme | docteur (0.82) | femme-médecin (0.86) doctoresse (0.85) female doctor (0.82) docteur (0.82) doctor (0.79) médecin (0.77) |
✖ | |
| fr | doctoresse - femme + homme | docteur (0.83) | docteur (0.83) doctor (0.81) médecin (0.80) doctoresse (0.79) homme (0.74) man (0.73) |
✔ | 0.02 |
| en | doctor - man + woman | female doctor (0.85) | female doctor (0.85) femme-médecin (0.85) doctoresse (0.84) doctor (0.81) docteur (0.76) médecin (0.76) |
✔ | 0.00 |
| en | female doctor - woman + man | doctor (0.82) | doctor (0.82) docteur (0.81) médecin (0.80) female doctor (0.77) man (0.77) doctoresse (0.72) |
✔ | 0.01 |
| fr | médecine - femme + homme | médecine (0.82) | médecine (0.82) medicine (0.77) médecin (0.72) doctor (0.67) docteur (0.67) homme (0.67) |
✔ | 0.05 |
| en | capital + city | capital city (0.92) | city (0.96) capital (0.96) capitale (0.94) capital city (0.92) métropole (0.88) ville (0.88) |
✖ | |
| en | woman + doctor | doctor (0.90) | doctor (0.90) woman (0.90) femme-médecin (0.90) female doctor (0.89) doctoresse (0.89) docteur (0.88) |
✔ | 0.00 |
| fr | femme + médecin | femme-médecin (0.94) | femme-médecin (0.94) médecin (0.90) femme (0.90) docteur (0.89) doctoresse (0.87) doctor (0.86) |
✔ | 0.03 |
| fr | roi + soleil | roi-soleil (0.92) | roi-soleil (0.92) roi (0.91) soleil (0.91) reine (0.79) souverain (0.79) duc (0.76) |
✔ | 0.01 |
| fr | base + données | base de données (0.84) | base (0.92) données (0.92) base de données (0.84) duc (0.79) database (0.77) system (0.77) |
✖ | |
| en | database + management + system | database management system (0.83) | system (0.90) management (0.90) database (0.87) système de gestion de base de données (0.84) database management system (0.83) base de données (0.83) |
✖ | |
| en | avg(king, queen, prince, princess) | monarch (0.87) | princesse (0.93) monarque (0.88) reine (0.87) monarch (0.87) souverain (0.82) countess (0.79) |
✖ | |
| fr | avg(roi, reine, prince, princesse) | monarque (0.84) | princess (0.91) queen (0.88) monarch (0.85) king (0.84) monarque (0.84) souverain (0.82) |
✖ | |
| en | avg(mysql, oracle, postgresql, mariadb) | database (0.87) | sgbd (0.89) database (0.87) dbms (0.86) base de données (0.81) système de gestion de base de données (0.78) database management system (0.76) |
✖ | |
| en | avg(mysql, mariadb) | database (0.80) | sgbd (0.83) database (0.80) dbms (0.78) oracle (0.76) postgresql (0.75) base de données (0.75) |
✖ | |
| en | avg(paris, london, berlin, madrid) | city (0.85) | londres (0.93) francfort (0.87) barcelone (0.86) frankfurt (0.86) métropole (0.85) city (0.85) |
✖ |
| Term | Similarity |
|---|---|
| king | 1.00 |
| queen | 0.91 |
| monarque | 0.88 |
| monarch | 0.85 |
| souverain | 0.81 |
| princess | 0.79 |
| reine | 0.79 |
| princesse | 0.79 |
| prince | 0.79 |
| sovereign | 0.77 |
| Term | Similarity |
|---|---|
| roi | 1.00 |
| roi-soleil | 0.80 |
| reine | 0.71 |
| duc | 0.71 |
| base | 0.68 |
| system | 0.68 |
| capital | 0.68 |
| monarch | 0.67 |
| metropolis | 0.67 |
| souverain | 0.66 |
Time to compute vectorization examples: 67,1 s
Analogies FR/EN + nearest neighbors (close synonyms)
| Language | Expression | Expected | Top neighbors | Success | Success margin |
|---|---|---|---|---|---|
| en | King - Man + Woman | Queen (0.69) | Princess (0.77) King (0.77) Princesse (0.73) Woman (0.71) Roi (0.71) Countess (0.70) |
✖ | |
| en | Queen - Woman + Man | King (0.66) | Queen (0.74) King (0.66) Prince (0.65) Man (0.65) Homme (0.61) Monarch (0.59) |
✖ | |
| fr | Roi - Homme + Femme | Reine (0.73) | Roi (0.84) Roi-soleil (0.78) Souverain (0.77) Sovereign (0.77) Princess (0.76) Princesse (0.76) |
✖ | |
| fr | Reine - Femme + Homme | Roi (0.70) | Reine (0.81) Homme (0.73) Man (0.71) Roi (0.70) Souverain (0.67) Duke (0.65) |
✖ | |
| en | Paris - France + Germany | Berlin (0.88) | Berlin (0.88) Frankfurt (0.85) Paris (0.84) London (0.80) Francfort (0.80) Londres (0.80) |
✔ | 0.03 |
| fr | Paris - France + Allemagne | Berlin (0.88) | Berlin (0.88) Paris (0.86) Frankfurt (0.86) Londres (0.82) London (0.81) Francfort (0.81) |
✔ | 0.02 |
| en | Paris - France + England | London (0.90) | London (0.90) Londres (0.89) Paris (0.84) England (0.78) Barcelone (0.74) Berlin (0.73) |
✔ | 0.01 |
| fr | Paris - France + Angletterre | Londres (0.80) | Paris (0.82) London (0.81) Londres (0.80) Angletterre (0.79) Métropole (0.75) Ville (0.74) |
✖ | |
| fr | Roi - Homme + Ville | Capitale (0.74) | Ville (0.80) Roi (0.77) Capitale (0.74) Métropole (0.72) City (0.71) Capital (0.71) |
✖ | |
| en | King - Man + City | Capital city (0.64) | City (0.76) Capitale (0.71) Ville (0.71) Métropole (0.70) King (0.70) Capital (0.70) |
✖ | |
| fr | Infirmier - Homme + Femme | Infirmière (0.87) | Infirmière (0.87) Infirmier (0.84) Femme-médecin (0.79) Nurse (0.79) Doctoresse (0.76) Femme (0.73) |
✔ | 0.03 |
| fr | Infirmière - Femme + Homme | Infirmier (0.85) | Infirmier (0.85) Infirmière (0.81) Médecin (0.79) Nurse (0.79) Doctor (0.77) Homme (0.73) |
✔ | 0.04 |
| fr | Médecin - Homme + Femme | Femme-médecin (0.84) | Femme-médecin (0.84) Médecin (0.83) Infirmière (0.81) Doctoresse (0.78) Female doctor (0.76) Infirmier (0.76) |
✔ | 0.01 |
| fr | Docteur - Homme + Femme | Docteur (0.84) | Femme-médecin (0.86) Doctoresse (0.86) Docteur (0.84) Femme (0.75) Countess (0.73) Princesse (0.73) |
✖ | |
| fr | Doctoresse - Femme + Homme | Docteur (0.82) | Docteur (0.82) Doctoresse (0.80) Homme (0.77) Doctor (0.76) Man (0.76) Médecin (0.75) |
✔ | 0.02 |
| en | Doctor - Man + Woman | Female doctor (0.79) | Female doctor (0.79) Doctor (0.78) Infirmière (0.74) Nurse (0.73) Femme-médecin (0.72) Médecin (0.72) |
✔ | 0.01 |
| en | Female doctor - Woman + Man | Doctor (0.73) | Man (0.73) Doctor (0.73) Female doctor (0.72) Médecin (0.72) Docteur (0.66) Homme (0.66) |
✖ | |
| fr | Médecine - Femme + Homme | Médecine (0.83) | Médecine (0.83) Medicine (0.73) Médecin (0.71) Doctor (0.65) Homme (0.64) Man (0.61) |
✔ | 0.10 |
| en | Capital + City | Capital city (0.90) | City (0.95) Capital (0.95) Capitale (0.93) Ville (0.91) Capital city (0.90) Métropole (0.89) |
✖ | |
| en | Woman + Doctor | Doctor (0.89) | Woman (0.89) Doctor (0.89) Female doctor (0.85) Médecin (0.85) Infirmière (0.84) Femme-médecin (0.83) |
✖ | |
| fr | Femme + Médecin | Femme-médecin (0.91) | Femme-médecin (0.91) Femme (0.90) Médecin (0.90) Infirmière (0.86) Infirmier (0.86) Docteur (0.86) |
✔ | 0.01 |
| fr | Roi + Soleil | Roi-soleil (0.95) | Roi-soleil (0.95) Roi (0.94) Soleil (0.94) Souverain (0.91) Sovereign (0.89) Reine (0.86) |
✔ | 0.01 |
| fr | Base + Données | Base de données (0.83) | Base (0.92) Données (0.92) Base de données (0.83) System (0.76) Compte (0.74) Système de gestion de base de données (0.74) |
✖ | |
| en | Database + Management + System | Database management system (0.80) | System (0.88) Management (0.85) Database (0.85) Système de gestion de base de données (0.84) Base de données (0.83) Dbms (0.81) |
✖ | |
| en | avg(King, Queen, Prince, Princess) | Monarch (0.83) | Princesse (0.91) Monarch (0.83) Roi (0.83) Monarque (0.82) Souverain (0.82) Countess (0.82) |
✖ | |
| fr | avg(Roi, Reine, Prince, Princesse) | Monarque (0.85) | Souverain (0.89) Princess (0.88) Roi-soleil (0.88) Sovereign (0.87) King (0.87) Monarch (0.86) |
✖ | |
| en | avg(Mysql, Oracle, Postgresql, Mariadb) | Database (0.80) | Dbms (0.83) Sgbd (0.81) Database (0.80) Base de données (0.80) Système de gestion de base de données (0.77) Database management system (0.71) |
✖ | |
| en | avg(Mysql, Mariadb) | Database (0.73) | Dbms (0.76) Oracle (0.75) Sgbd (0.74) Base de données (0.74) Postgresql (0.73) Database (0.73) |
✖ | |
| en | avg(Paris, London, Berlin, Madrid) | City (0.79) | Londres (0.93) Frankfurt (0.92) Barcelone (0.90) Francfort (0.89) Barcelona (0.88) Métropole (0.86) |
✖ |
| Term | Similarity |
|---|---|
| King | 1.00 |
| Roi | 0.87 |
| Monarch | 0.84 |
| Roi-soleil | 0.83 |
| Princesse | 0.82 |
| Sovereign | 0.82 |
| Souverain | 0.82 |
| Princess | 0.82 |
| Monarque | 0.81 |
| Countess | 0.76 |
| Term | Similarity |
|---|---|
| Roi | 1.00 |
| Roi-soleil | 0.89 |
| Souverain | 0.88 |
| Sovereign | 0.87 |
| King | 0.87 |
| Monarch | 0.82 |
| Reine | 0.81 |
| Monarque | 0.80 |
| Princesse | 0.80 |
| Countess | 0.79 |
Time to compute vectorization examples: 36,7 s