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<mods ID="ojha-zeman-2020-universal">
    <titleInfo>
        <title>Universal Dependency Treebanks for Low-Resource Indian Languages: The Case of Bhojpuri</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Atul</namePart>
        <namePart type="given">Kr.</namePart>
        <namePart type="family">Ojha</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Daniel</namePart>
        <namePart type="family">Zeman</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2020-may</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <language>
        <languageTerm type="text">English</languageTerm>
        <languageTerm type="code" authority="iso639-2b">eng</languageTerm>
    </language>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the WILDRE5– 5th Workshop on Indian Language Data: Resources and Evaluation</title>
        </titleInfo>
        <originInfo>
            <publisher>European Language Resources Association (ELRA)</publisher>
            <place>
                <placeTerm type="text">Marseille, France</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-10-95546-67-2</identifier>
    </relatedItem>
    <abstract>This paper presents the first dependency treebank for Bhojpuri, a resource-poor language that belongs to the Indo-Aryan language family. The objective behind the Bhojpuri Treebank (BHTB) project is to create a substantial, syntactically annotated treebank which not only acts as a valuable resource in building language technological tools, also helps in cross-lingual learning and typological research. Currently, the treebank consists of 4,881 annotated tokens in accordance with the annotation scheme of Universal Dependencies (UD). A Bhojpuri tagger and parser were created using machine learning approach. The accuracy of the model is 57.49% UAS, 45.50% LAS, 79.69% UPOS accuracy and 77.64% XPOS accuracy. The paper describes the details of the project including a discussion on linguistic analysis and annotation process of the Bhojpuri UD treebank.</abstract>
    <identifier type="citekey">ojha-zeman-2020-universal</identifier>
    <location>
        <url>https://www.aclweb.org/anthology/2020.wildre-1.7</url>
    </location>
    <part>
        <date>2020-may</date>
        <extent unit="page">
            <start>33</start>
            <end>38</end>
        </extent>
    </part>
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