metadata
license: apache-2.0
language:
- ml
tags:
- transliteration
- malayalam
- manglish
- input-method
- ime
library_name: pytorch
pipeline_tag: translation
datasets:
- ai4bharat/Aksharantar
Aksharakuppy — Manglish → Malayalam Transliteration IME
A character-level Transformer + frequency-dictionary hybrid that converts romanized Malayalam (Manglish) into Malayalam script, with Google-IME-style word suggestions.
Model
- 4-layer encoder-decoder Transformer, ~16.6M params, character-level tokenization
- Hybrid: ~677k-word frequency lexicon (trie prefix lookup) + neural fallback for out-of-vocabulary words
- Trained from scratch on a custom corpus + AI4Bharat Aksharantar (Malayalam) + Google Input Tools corrections
Usage
python from ime import IME ime = IME("checkpoints_ime") print(ime.suggest("dhoni")) # ['ധോണി', ...] print(ime.suggest("keralam")) # ['കേരളം', ...]
Web demo
bash pip install torch fastapi uvicorn uvicorn server:app --host 0.0.0.0 --port 8000
Limitations
- Ambiguous romanizations may return multiple valid words; the intended word is usually in the top 5.
- Coverage reflects the training lexicon; rare or new words use the neural fallback.
License
Apache-2.0. Training data includes AI4Bharat Aksharantar (manually collected: CC-BY; mined: CC0).