AI4BHARAT

Machine Transliteration

Indian languages are written in a variety of scripts (Brahmi family of abugida scripts, Arabic-derived abjad scripts and even alphabetic Roman script). This diversity makes it challenging to support mechanisms which are convenient for typing or creating content in these diverse languages and scripts. Most Indian users are comfortable with the Roman keyboard and thus an optimal solution that users find beneficial is automatic transliteration of the romanized input into the native script. To enable this, at AI4Bharat, we have undertaken the task of creating large-scale transliteration corpora for Indic languages along with models for transliteration of romanized inputs into native scripts.

Our Contributions

Aksharantar

The largest publicly available parallel transliteration corpora containing 26M word pairs spanning 21 languages mined from Wikidata, Samanantar and IndicCorp. It also contains a challenging and diverse benchmark for evaluating transliteration models.

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IndicXlit

A multilingual transformer based model for transliteration from romanized input to native language scripts supporting 21 languages. This model is trained using Aksharantar corpus and at the time of its release was the state of the art open source model as evaluated on Google's Dakshina benchmark and our Aksharantar benchmark.

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Coming Soon
IndicLangID

A model for identifying the language of romanized content on social media. This model will be trained using the large number of romanized Indian language words in Aksharantar.

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IndicXlit Keyboard (En-Indic)

A transliteration interface (En-Indic online keyboard) that converts romanized text into Indic text.

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Coming Soon
IndicXlit Keyboard (Indic-En)

A transliteration interface (Indic-En online keyboard) that converts Indic text into romanized text.

Our Partners

Pratham Books

We have partnered with Pratham Books to enable romanized keyboards in their translation interface for low resource languages such as Bodo, Kashmiri, Konkani, Maithili, Nepali and Urdu.

IndicXlit Workshop

On 28th July, we are conducting a workshop to demonstrate our datasets, models, and applications.

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