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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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