@inproceedings{goyal-etal-2022-translation,
    title = "Translation Techies @{D}ravidian{L}ang{T}ech-{ACL}2022-Machine Translation in {D}ravidian Languages",
    author = "Goyal, Piyushi  and
      Supriya, Musica  and
      U, Dinesh  and
      Nayak, Ashalatha",
    editor = "Chakravarthi, Bharathi Raja  and
      Priyadharshini, Ruba  and
      Madasamy, Anand Kumar  and
      Krishnamurthy, Parameswari  and
      Sherly, Elizabeth  and
      Mahesan, Sinnathamby",
    booktitle = "Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages",
    month = may,
    year = "2022",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2022.dravidianlangtech-1.19/",
    doi = "10.18653/v1/2022.dravidianlangtech-1.19",
    pages = "120--124",
    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."
}Markdown (Informal)
[Translation Techies @DravidianLangTech-ACL2022-Machine Translation in Dravidian Languages](https://preview.aclanthology.org/ingest-emnlp/2022.dravidianlangtech-1.19/) (Goyal et al., DravidianLangTech 2022)
ACL