# COMMENTATOR: A Code-mixed Multilingual Text Annotation Framework

arXiv: https://arxiv.org/abs/2408.03125 · HTML: https://mlsanity.com/paper/2408.03125/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 22 references that are in the map.
- First posted on arXiv 6 Aug 2024.

## Builds on (most cited first, 1 of 1)

- [YEDDA: A Lightweight Collaborative Text Span Annotation Tool](https://mlsanity.com/paper/1711.03759/) (2017)

## Abstract (arXiv)

As the NLP community increasingly addresses challenges associated with multilingualism, robust annotation tools are essential to handle multilingual datasets efficiently. In this paper, we introduce a code-mixed multilingual text annotation framework, COMMENTATOR, specifically designed for annotating code-mixed text. The tool demonstrates its effectiveness in token-level and sentence-level language annotation tasks for Hinglish text. We perform robust qualitative human-based evaluations to showcase COMMENTATOR led to 5x faster annotations than the best baseline. Our code is publicly available at urlhttps://github.com/lingo-iitgn/commentator. The demonstration video is available at urlhttps://bit.ly/commentatorvideo.