Work

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

Year: 2022

Type: preprint

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 multi-lingual BERT to find the similarity between synthetically generated and human-generated sentences to predict the quality of synthetically generated Hinglish sentences.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2206.08680

Authors: Furniturewala, Shaz, Kumari, Vijay, Dash, Amulya Ratna, Kedia, Hriday, Sharma, Yashvardhan

Institution: Birla Institute of Technology and Science, Pilani

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4283217728

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