BITS Pilani at HinglishEval: Quality Evaluation for Code-Mixed Hinglish Text Using Transformers
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Abstract (arXiv)
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 multi-lingual BERT to find the similarity between synthetically generated and human-generated sentences to predict the quality of synthetically generated Hinglish sentences.
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References · 7
- 2019How multilingual is Multilingual BERT?cited by 642
- 2021HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Textcited by 28
- 2018Unsupervised Multilingual Word Embeddingscited by 16
- 2018Code-Switching Language Modeling using Syntax-Aware Multi-Task Learningcited by 15
- 2021MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluationcited by 7
- 2021Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Textcited by 7
- 2020Codeswitched Sentence Creation using Dependency Parsingcited by 2
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