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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16358
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dc.contributor.authorSharma, Yashvardhan-
dc.date.accessioned2024-11-13T08:59:17Z-
dc.date.available2024-11-13T08:59:17Z-
dc.date.issued2022-
dc.identifier.urihttps://aclanthology.org/2022.inlg-genchal.6/-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16358-
dc.description.abstractCode-Mixed text data consists of sentences having words or phrases from more than one language. Most multi-lingual communities worldwide communicate using multiple languages, with English usually one of them. Hinglish is a Code-Mixed text composed of Hindi and English but written in Roman script. This paper aims to determine the factors influencing the quality of Code-Mixed text data generated by the system. For the HinglishEval task, the proposed model uses multilingual BERT to find the similarity between synthetically generated and human-generated sentences to predict the quality of synthetically generated Hinglish sentences.en_US
dc.language.isoenen_US
dc.publisherAssociation for Computational Linguisticsen_US
dc.subjectComputer Scienceen_US
dc.subjectCode-Mixed texten_US
dc.subjectHinglishEval tasken_US
dc.subjectBERTen_US
dc.titleBITS Pilani at HinglishEval: Quality Evaluation for Code-Mixed Hinglish Text Using Transformersen_US
dc.typeArticleen_US
Appears in Collections:Department of Computer Science and Information Systems

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