@inproceedings{srivastava-singh-2021-challenges,
    title = "Challenges and Limitations with the Metrics Measuring the Complexity of Code-Mixed Text",
    author = "Srivastava, Vivek  and
      Singh, Mayank",
    booktitle = "Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.calcs-1.2",
    doi = "10.18653/v1/2021.calcs-1.2",
    pages = "6--14",
    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.",
}