@inproceedings{singh-etal-2024-wmt24,
    title = "{WMT}24 System Description for the {M}ulti{I}ndic22{MT} Shared Task on {M}anipuri Language",
    author = "Singh, Ningthoujam Justwant  and
      Singh, Kshetrimayum Boynao  and
      Singh, Ningthoujam Avichandra  and
      Phijam, Sanjita  and
      Singh, Thoudam Doren",
    editor = "Haddow, Barry  and
      Kocmi, Tom  and
      Koehn, Philipp  and
      Monz, Christof",
    booktitle = "Proceedings of the Ninth Conference on Machine Translation",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.wmt-1.73/",
    doi = "10.18653/v1/2024.wmt-1.73",
    pages = "797--803",
    abstract = "This paper presents a Transformer-based Neural Machine Translation (NMT) system developed by the Centre for Natural Language Processing and the Department of Computer Science and Engineering at the National Institute of Technology Silchar, India (NITS-CNLP) for the MultiIndic22MT 2024 Shared Task. The system focused on the English-Manipuri language pair for the WMT24 shared task. The proposed WMT system shows a BLEU score of 6.4, a chrF score of 28.6, and a chrF++ score of 26.6 on the public test set Indic-Conv dataset. Further, in the public test set Indic-Gen dataset, it achieved a BLEU score of 8.1, a chrF score of 32.1, and a chrF++ score of 29.4 on the English-to-Manipuri translation."
}