<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="sahoo-etal-2024-nlip">
    <titleInfo>
        <title>NLIP_Lab-IITH Low-Resource MT System for WMT24 Indic MT Shared Task</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Pramit</namePart>
        <namePart type="family">Sahoo</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Maharaj</namePart>
        <namePart type="family">Brahma</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Maunendra</namePart>
        <namePart type="given">Sankar</namePart>
        <namePart type="family">Desarkar</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2024-11</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Ninth Conference on Machine Translation</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Barry</namePart>
            <namePart type="family">Haddow</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Tom</namePart>
            <namePart type="family">Kocmi</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Philipp</namePart>
            <namePart type="family">Koehn</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Christof</namePart>
            <namePart type="family">Monz</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Miami, Florida, USA</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In this paper, we describe our system for the WMT 24 shared task of Low-Resource Indic Language Translation. We consider eng↔as, kha, lus, mni as participating language pairs. In this shared task, we explore the fine-tuning of a pre-trained model motivated by the pre-trained objective of aligning embeddings closer by alignment augmentation (Lin et al.,2020) for 22 scheduled Indian languages. Our primary system is based on language-specific finetuning on a pre-trained model. We achieve chrF2 scores of 50.6, 42.3, 54.9, and 66.3 on the official public test set for eng→as, eng→kha, eng→lus, eng→mni respectively. We also explore multilingual training with/without language grouping and layer-freezing.</abstract>
    <identifier type="citekey">sahoo-etal-2024-nlip</identifier>
    <location>
        <url>https://aclanthology.org/2024.wmt-1.70</url>
    </location>
    <part>
        <date>2024-11</date>
        <extent unit="page">
            <start>781</start>
            <end>787</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T NLIP_Lab-IITH Low-Resource MT System for WMT24 Indic MT Shared Task
%A Sahoo, Pramit
%A Brahma, Maharaj
%A Desarkar, Maunendra Sankar
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Ninth Conference on Machine Translation
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F sahoo-etal-2024-nlip
%X In this paper, we describe our system for the WMT 24 shared task of Low-Resource Indic Language Translation. We consider eng↔as, kha, lus, mni as participating language pairs. In this shared task, we explore the fine-tuning of a pre-trained model motivated by the pre-trained objective of aligning embeddings closer by alignment augmentation (Lin et al.,2020) for 22 scheduled Indian languages. Our primary system is based on language-specific finetuning on a pre-trained model. We achieve chrF2 scores of 50.6, 42.3, 54.9, and 66.3 on the official public test set for eng→as, eng→kha, eng→lus, eng→mni respectively. We also explore multilingual training with/without language grouping and layer-freezing.
%U https://aclanthology.org/2024.wmt-1.70
%P 781-787

Markdown (Informal)

[NLIP_Lab-IITH Low-Resource MT System for WMT24 Indic MT Shared Task](https://aclanthology.org/2024.wmt-1.70) (Sahoo et al., WMT 2024)

• NLIP_Lab-IITH Low-Resource MT System for WMT24 Indic MT Shared Task (Sahoo et al., WMT 2024)

ACL

• Pramit Sahoo, Maharaj Brahma, and Maunendra Sankar Desarkar. 2024. NLIP_Lab-IITH Low-Resource MT System for WMT24 Indic MT Shared Task. In Proceedings of the Ninth Conference on Machine Translation, pages 781–787, Miami, Florida, USA. Association for Computational Linguistics.