IndoNLP 2025: Shared Task on Real-Time Reverse Transliteration for Romanized Indo-Aryan languages

TL;DR

This paper presents a shared task focused on developing real-time reverse transliteration models for low-resource Indo-Aryan languages, aiming to improve native script conversion from Romanized text and enhance digital usability.

Contribution

It introduces a shared task for reverse transliteration of Indo-Aryan languages, evaluates multiple models, and demonstrates improvements in native script conversion accuracy.

Findings

Four teams participated in the final evaluation.

Models successfully transliterate Sinhala, Hindi, and Malayalam.

The task advances low-resource language digital usability.

Abstract

The paper overviews the shared task on Real-Time Reverse Transliteration for Romanized Indo-Aryan languages. It focuses on the reverse transliteration of low-resourced languages in the Indo-Aryan family to their native scripts. Typing Romanized Indo-Aryan languages using ad-hoc transliterals and achieving accurate native scripts are complex and often inaccurate processes with the current keyboard systems. This task aims to introduce and evaluate a real-time reverse transliterator that converts Romanized Indo-Aryan languages to their native scripts, improving the typing experience for users. Out of 11 registered teams, four teams participated in the final evaluation phase with transliteration models for Sinhala, Hindi and Malayalam. These proposed solutions not only solve the issue of ad-hoc transliteration but also empower low-resource language usability in the digital arena.