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Bhashini-AI4Bharat Textual Language Detection v1.0

Detect language from provided text, Currently supports 23 languages (English, Bangla, Manipuri, Bodo, Konkani, Oriya, Nepali, Marathi, Sindhi, Sanskrit, Malayalam, Urdu, Assamese, Telugu, Dogri, Gujarati, Kashmiri, Punjabi, Santali, Maithili, Hindi, Tamil, Kannada)

  • See Upvoters5
  • Downloads306
  • File Size3 MB
  • Views6,170

About Model

IndicLID, is a language identifier for all 22 Indian languages listed in the Indian constitution in both native-script and romanized text. IndicLID is the first LID for romanized text in Indian languages. It is a two stage classifier that is ensemble of a fast linear classifier and a slower classifier finetuned from a pre-trained LM. It can predict 47 classes (24 native-script classes and 21 roman-script classes plus English and Others). IndicLID is evaluated on Bhasha-Abhijnaanam benchmark which is released alnog with this work. For native-script text, IndicLID has better language coverage than existing LIDs and is competitive or better than other LIDs. IndicLID model is 10 times faster and 4 times smaller than the NLLB model also establish a strong baseline results on the roman-script text.

Bhashini-AI4Bharat Textual Language Detection v1.0

Metadata Metadata

MIT

AI4Bharat

OCR (Optical Character Recognition) Model

Other

Open

Sector Agnostic

06/07/26 16:08:10

3 MB

Tags Tags

  • Multilingual
  • AI4Bharat
  • NLP
  • Bhashini
  • Text Processing
  • Deep Learning
  • Transformer
  • Text Language Detection

compile_final_pilot_1.py ( 1.81 KB )


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License Control License Control

MIT

Version Control Version Control

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