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Langauge Detection Model is built using multinomial Naive Bayes and used NLP techniques like Count Vectorizer, BOW

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Language Detection System

This is a language detection system built using Python. The system uses the langdetect library to detect the language of a given text. The system supports 55 languages including English, Spanish, French, German, Italian, Chinese, Japanese, and many more.

Usage:

To detect the language of a text, you need to provide the text as input to the detect_language function in the language_detection.py file.

Supported Languages:

The language detection system supports the following languages:

Afrikaans

Albanian

Arabic

Azerbaijani

Basque

Belarusian

Bengali

Bosnian

Bulgarian

Catalan

Cebuano

Chinese (Simplified)

Chinese (Traditional)

Croatian

Czech

Danish

Dutch

English

Esperanto

Estonian

Filipino

Finnish

French

Galician

Georgian

German

Greek

Gujarati

Haitian Creole

Hausa

Hebrew

Hindi

Hmong

Hungarian

Icelandic

Igbo

Indonesian

Irish

Italian

Japanese

Javanese

Kannada

Kazakh

Khmer

Korean

Kurdish

Kyrgyz

Lao

Latin

Latvian

Lithuanian

Luxembourgish

Macedonian

Malagasy

Malay

Malayalam

Maltese

Maori

Marathi

Mongolian

Myanmar (Burmese)

Nepali

Norwegian

Nyanja (Chichewa)

Pashto

Persian

Polish

Portuguese (Portugal, Brazil)

Punjabi

Romanian

Russian

Samoan

Scots Gaelic

Serbian

Sesotho

Shona

Sindhi

Sinhala (Sinhalese)

Slovak

Slovenian

Somali

Spanish

Sundanese

Swahili

Swedish

Tajik

Tamil

Telugu

Thai

Turkish

Ukrainian

Urdu

Uzbek

Vietnamese

Welsh

Xhosa

Yiddish

Yoruba

Zulu

About

Langauge Detection Model is built using multinomial Naive Bayes and used NLP techniques like Count Vectorizer, BOW

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