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Use this article to find the natural languages supported by Key Phrase Extraction. Both the cloud-based API and Docker containers support the same languages.
Supported languages
Total supported language codes: 94
Language | Language code | Notes |
---|---|---|
Afrikaans | af |
|
Albanian | sq |
|
Amharic | am |
|
Arabic | ar |
|
Armenian | hy |
|
Assamese | as |
|
Azerbaijani | az |
|
Basque | eu |
|
Belarusian | be |
|
Bengali | bn |
|
Bosnian | bs |
|
Breton | br |
|
Bulgarian | bg |
|
Burmese | my |
|
Catalan | ca |
|
Chinese-Simplified | zh-hans |
|
Chinese-Traditional | zh-hant |
|
Croatian | hr |
|
Czech | cs |
|
Danish | da |
|
Dutch | nl |
|
English | en |
|
Esperanto | eo |
|
Estonian | et |
|
Filipino | fil |
|
Finnish | fi |
|
French | fr |
|
Galician | gl |
|
Georgian | ka |
|
German | de |
|
Greek | el |
|
Gujarati | gu |
|
Hausa | ha |
|
Hebrew | he |
|
Hindi | hi |
|
Hungarian | hu |
|
Indonesian | id |
|
Irish | ga |
|
Italian | it |
|
Japanese | ja |
|
Javanese | jv |
|
Kannada | kn |
|
Kazakh | kk |
|
Khmer | km |
|
Korean | ko |
|
Kurdish (Kurmanji) | ku |
|
Kyrgyz | ky |
|
Lao | lo |
|
Latin | la |
|
Latvian | lv |
|
Lithuanian | lt |
|
Macedonian | mk |
|
Malagasy | mg |
|
Malay | ms |
|
Malayalam | ml |
|
Marathi | mr |
|
Mongolian | mn |
|
Nepali | ne |
|
Norwegian (Bokmål) | no |
nb also accepted |
Odia | or |
|
Oromo | om |
|
Pashto | ps |
|
Persian | fa |
|
Polish | pl |
|
Portuguese (Brazil) | pt-BR |
|
Portuguese (Portugal) | pt-PT |
pt also accepted |
Punjabi | pa |
|
Romanian | ro |
|
Russian | ru |
|
Sanskrit | sa |
|
Scottish Gaelic | gd |
|
Serbian | sr |
|
Sindhi | sd |
|
Sinhala | si |
|
Slovak | sk |
|
Slovenian | sl |
|
Somali | so |
|
Spanish | es |
|
Sudanese | su |
|
Swahili | sw |
|
Swedish | sv |
|
Tamil | ta |
|
Telugu | te |
|
Thai | th |
|
Turkish | tr |
|
Ukrainian | uk |
|
Urdu | ur |
|
Uyghur | ug |
|
Uzbek | uz |
|
Vietnamese | vi |
|
Welsh | cy |
|
Western Frisian | fy |
|
Xhosa | xh |
|
Yiddish | yi |
Next steps
- How to call the API for more information.
- Quickstart: Use the key phrase extraction client library and REST API