COMMENTATOR: A Code-mixed Multilingual Text Annotation Framework
<|reference_start|>COMMENTATOR: A Code-mixed Multilingual Text Annotation Framework: 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 \url{https://github.com/lingo-iitgn/commentator}. The demonstration video is available at \url{https://bit.ly/commentator_video}.<|reference_end|>
@article{sheth2024commentator:,
    title={COMMENTATOR: A Code-mixed Multilingual Text Annotation Framework},
    author={Rajvee Sheth, Shubh Nisar, Heenaben Prajapati, Himanshu Beniwal,
  Mayank Singh},
    journal={arXiv preprint arXiv:2408.03125},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.03125},
    primaryClass={cs.CL cs.AI}
}