Please use this identifier to cite or link to this item:
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16358
Full metadata record
DC Field | Value | Language |
---|---|---|
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.identifier.uri | https://aclanthology.org/2022.inlg-genchal.6/ | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16358 | - |
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.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 |
Appears in Collections: | Department of Computer Science and Information Systems |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.