Translation Techies @DravidianLangTech-ACL2022-Machine Translation in Dravidian Languages

Piyushi Goyal, Musica Supriya, U. Dinesh Acharya, Ashalatha Nayak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper discusses the details of submission made by team Translation Techies to the Shared Task on Machine Translation in Dravidian languages- ACL 2022. In connection to the task, five language pairs were provided to test the accuracy of submitted model. A baseline transformer model with Neural Machine Translation(NMT) technique is used which has been taken directly from the OpenNMT framework. On this baseline model, tokenization is applied using the IndicNLP library. Finally, the evaluation is performed using the BLEU scoring mechanism.

Original languageEnglish
Title of host publicationDravidianLangTech 2022 - 2nd Workshop on Speech and Language Technologies for Dravidian Languages, Proceedings of the Workshop
EditorsBharathi Raja Chakravarthi, Ruba Priyadharshini, Anand Kumar Madasamy, Parameswari Krishnamurthy, Elizabeth Sherly, Sinnathamby Mahesan
PublisherAssociation for Computational Linguistics (ACL)
Pages120-124
Number of pages5
ISBN (Electronic)9781955917346
Publication statusPublished - 2022
Event2nd Workshop on Speech and Language Technologies for Dravidian Languages, Proceedings of the Workshop, DravidianLangTech 2022 - Dublin, Ireland
Duration: 26-05-2022 → …

Publication series

NameDravidianLangTech 2022 - 2nd Workshop on Speech and Language Technologies for Dravidian Languages, Proceedings of the Workshop

Conference

Conference2nd Workshop on Speech and Language Technologies for Dravidian Languages, Proceedings of the Workshop, DravidianLangTech 2022
Country/TerritoryIreland
CityDublin
Period26-05-22 → …

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Linguistics and Language

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