BITS Pilani at HinglishEval: Quality Evaluation for Code-Mixed Hinglish Text Using Transformers

dc.contributor.author	Sharma, Yashvardhan
dc.date.accessioned	2024-11-13T08:59:17Z
dc.date.available	2024-11-13T08:59:17Z
dc.date.issued	2022
dc.description.abstract	Code-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.identifier.uri	https://aclanthology.org/2022.inlg-genchal.6/
dc.identifier.uri	http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16358
dc.language.iso	en	en_US
dc.publisher	Association for Computational Linguistics	en_US
dc.subject	Computer Science	en_US
dc.subject	Code-Mixed text	en_US
dc.subject	HinglishEval task	en_US
dc.subject	BERT	en_US
dc.title	BITS Pilani at HinglishEval: Quality Evaluation for Code-Mixed Hinglish Text Using Transformers	en_US
dc.type	Article	en_US

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