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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
Title: BITS Pilani at HinglishEval: Quality Evaluation for Code-Mixed Hinglish Text Using Transformers
Authors: Sharma, Yashvardhan
Keywords: Computer Science
Code-Mixed text
HinglishEval task
BERT
Issue Date: 2022
Publisher: Association for Computational Linguistics
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.
URI: https://aclanthology.org/2022.inlg-genchal.6/
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16358
Appears in Collections:Department of Computer Science and Information Systems

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