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IndicXlit
A Transformer-based multilingual transliteration model
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3.94 MB 
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About Model
Bhashini - IndicXlit is a Transformer-based multilingual transliteration model, trained on Aksharantar dataset which is the largest publicly available parallel transliteration corpora collection for Indic languages at the time of writing (20 May 2022). It is used to convert any roman text written in Indian language (like Hinglish) to the native Indic-script (like Devanagari for Hindi). It supports 21 Indic languages: Assamese, Bangla, Bodo, Gujarati, Hindi, Kannada, Kashmiri, Konkani, Maithili, Malayalam, Manipuri, Marathi, Nepali, Oriya, Panjabi, Sanskrit, Sindhi, Sinhala, Tamil, Telugu, Urdu.
IndicXlit
Metadata
MIT
AI4Bharat
Machine Translation Model
Other
Open
Sector Agnostic
06/07/26 16:14:08
3.94 MB
Tags
- Language Modeling
- Multilingual Translation
- Machine Translation
- Regional Languages
- Indian Languages
- NLP
- transliteration
IndicXlit-master ( 3 files, 12 directories )
ablation_study
2 directories
app
10 files, 1 directories
Checker
3 files
corpus_preprocessing
5 directories
data_mining
1 files, 2 directories
Dataset_Format
2 files
inference
2 directories
model_training_scripts
1 files, 7 directories
.gitignore
1.79 KB
LICENSE
1.04 KB
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MIT
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Version 1(3.94 MB)
- admin·1 year(s) ago
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