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Challenges and Limitations with the Metrics Measuring the Complexity of Code-Mixed Text

2021-06-18 13:26:48
Vivek Srivastava, Mayank Singh
arXiv_CL
   
Abstract

Code-mixing is a frequent communication style among multilingual speakers where they mix words and phrases from two different languages in the same utterance of text or speech. Identifying and filtering code-mixed text is a challenging task due to its co-existence with monolingual and noisy text. Over the years, several code-mixing metrics have been extensively used to identify and validate code-mixed text quality. This paper demonstrates several inherent limitations of code-mixing metrics with examples from the already existing datasets that are popularly used across various experiments.

Abstract (translated)

URL

https://arxiv.org/abs/2106.10123

PDF

https://arxiv.org/pdf/2106.10123.pdf

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