model card 1.2.0+264d8cfbae23
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README.md
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---
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license: other
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language: [hi, mr, ne, mai, sa, brx, kok, doi, gu, pa, or, ta, te, kn, ml, mni, bn, as, ur, sd, ks, sat]
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tags: [transliteration, code-mixing, text-to-speech, indic]
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---
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# indictrans: English words in Indian-language text, written in the request's script
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Runtime assets of the code-mix transliteration layer of the Finesse TTS (`utils/codemix_xlit`):
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English words inside Indic text are rewritten in the language's script, spelled the way an
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Indian-English speaker says them, so an Indic voice reads them correctly; text typed entirely in
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Latin is read word by word, the language's own words back into its script. 22 languages (Dogri and
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Santali through the Hindi model).
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Version 1.2.0+264d8cfbae23. Built by `tools/codemix_xlit/build_assets.py`; `manifest.json` lists every file
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with its size and SHA-256.
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## Contents
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- `model/`: the IndicXlit en->indic v1.0 transformer converted to CTranslate2
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- `lexicon/<code>.reviewed.json`, `lexicon/<code>.generated.json`: reviewed and generated spellings
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- `rescore/`: pruned IndicXlit word-frequency dictionaries
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- `cmudict.json`, `english_*`: English pronunciations, vocabulary and reviewed corrections
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- `indic_words.json`: Indian words read natively; `ranker.json`: candidate ranker
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- `roman/<code>.json`: how people type each language's words in Latin, and how often
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## Sources and licences
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- IndicXlit model and word-frequency dictionaries: AI4Bharat, MIT licence
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(https://github.com/AI4Bharat/IndicXlit)
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- CMU Pronouncing Dictionary: Carnegie Mellon University, BSD-style licence
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- English word lists derived from wordfreq (https://github.com/rspeer/wordfreq): CC BY-SA 4.0
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- Dakshina dataset (Roark et al. 2020, https://github.com/google-research-datasets/dakshina):
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CC BY-SA 4.0; the romanized tables of bn, gu, hi, kn, ml, mr, pa, sd, ta, te, ur use counts
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derived from its romanized sentences, and those tables are shared under CC BY-SA 4.0
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- Lexicons, corrections, ranker and the other romanized tables: derived from the above and reviewed
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