COMMENTATOR: A Code-mixed Multilingual Text Annotation Framework

Fuente: arXiv
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Autori principali: Sheth, Rajvee, Nisar, Shubh, Prajapati, Heenaben, Beniwal, Himanshu, Singh, Mayank
Natura: Preprint
Pubblicazione: 2024
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author Sheth, Rajvee
Nisar, Shubh
Prajapati, Heenaben
Beniwal, Himanshu
Singh, Mayank
author_facet Sheth, Rajvee
Nisar, Shubh
Prajapati, Heenaben
Beniwal, Himanshu
Singh, Mayank
contents 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}.
format Preprint
id arxiv_https___arxiv_org_abs_2408_03125
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle COMMENTATOR: A Code-mixed Multilingual Text Annotation Framework
Sheth, Rajvee
Nisar, Shubh
Prajapati, Heenaben
Beniwal, Himanshu
Singh, Mayank
Computation and Language
Artificial Intelligence
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}.
title COMMENTATOR: A Code-mixed Multilingual Text Annotation Framework
topic Computation and Language
Artificial Intelligence
url https://arxiv.org/abs/2408.03125