解决印欧语系语言罗马字转写实时转换难题，提升低资源语言输入体验。
IndoNLP 2025: Shared Task on Real-Time Reverse Transliteration for Romanized Indo-Aryan languages
- 设计实时逆转写模型，将罗马字母转为本地文字
- 4支队伍参与，覆盖僧伽罗语、印地语、马拉雅拉姆语
- 助力低资源语言数字可用性，改善用户输入效率
本文概述了关于印欧语系语言罗马字实时逆转写的共享任务。该任务聚焦于印欧语系中低资源语言向其母语文字的逆转写问题。当前键盘系统在使用自定义转写方式输入印欧语系语言时，常面临复杂且易出错的问题。本任务旨在引入并评估一个实时逆转写系统，将罗马化印欧语系语言转换为对应母语文字，以改善用户输入体验。共有11支队伍注册，其中4支进入最终评估阶段，提交了针对僧伽罗语、印地语和马拉雅拉姆语的转写模型。这些方案不仅解决了非标准转写的问题，还显著提升了低资源语言在数字环境中的可用性。
原文摘要 · Abstract (English)
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.
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