<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="chakravarthi-etal-2018-improving">
    <titleInfo>
        <title>Improving Wordnets for Under-Resourced Languages Using Machine Translation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Bharathi</namePart>
        <namePart type="given">Raja</namePart>
        <namePart type="family">Chakravarthi</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Mihael</namePart>
        <namePart type="family">Arcan</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">John</namePart>
        <namePart type="given">P</namePart>
        <namePart type="family">McCrae</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2018-01</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 9th Global Wordnet Conference</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Francis</namePart>
            <namePart type="family">Bond</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Piek</namePart>
            <namePart type="family">Vossen</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Christiane</namePart>
            <namePart type="family">Fellbaum</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Global Wordnet Association</publisher>
            <place>
                <placeTerm type="text">Nanyang Technological University (NTU), Singapore</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Wordnets are extensively used in natural language processing, but the current approaches for manually building a wordnet from scratch involves large research groups for a long period of time, which are typically not available for under-resourced languages. Even if wordnet-like resources are available for under-resourced languages, they are often not easily accessible, which can alter the results of applications using these resources. Our proposed method presents an expand approach for improving and generating wordnets with the help of machine translation. We apply our methods to improve and extend wordnets for the Dravidian languages, i.e., Tamil, Telugu, Kannada, which are severly under-resourced languages. We report evaluation results of the generated wordnet senses in term of precision for these languages. In addition to that, we carried out a manual evaluation of the translations for the Tamil language, where we demonstrate that our approach can aid in improving wordnet resources for under-resourced Dravidian languages.</abstract>
    <identifier type="citekey">chakravarthi-etal-2018-improving</identifier>
    <location>
        <url>https://aclanthology.org/2018.gwc-1.10</url>
    </location>
    <part>
        <date>2018-01</date>
        <extent unit="page">
            <start>77</start>
            <end>86</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Improving Wordnets for Under-Resourced Languages Using Machine Translation
%A Chakravarthi, Bharathi Raja
%A Arcan, Mihael
%A McCrae, John P.
%Y Bond, Francis
%Y Vossen, Piek
%Y Fellbaum, Christiane
%S Proceedings of the 9th Global Wordnet Conference
%D 2018
%8 January
%I Global Wordnet Association
%C Nanyang Technological University (NTU), Singapore
%F chakravarthi-etal-2018-improving
%X Wordnets are extensively used in natural language processing, but the current approaches for manually building a wordnet from scratch involves large research groups for a long period of time, which are typically not available for under-resourced languages. Even if wordnet-like resources are available for under-resourced languages, they are often not easily accessible, which can alter the results of applications using these resources. Our proposed method presents an expand approach for improving and generating wordnets with the help of machine translation. We apply our methods to improve and extend wordnets for the Dravidian languages, i.e., Tamil, Telugu, Kannada, which are severly under-resourced languages. We report evaluation results of the generated wordnet senses in term of precision for these languages. In addition to that, we carried out a manual evaluation of the translations for the Tamil language, where we demonstrate that our approach can aid in improving wordnet resources for under-resourced Dravidian languages.
%U https://aclanthology.org/2018.gwc-1.10
%P 77-86

Markdown (Informal)

[Improving Wordnets for Under-Resourced Languages Using Machine Translation](https://aclanthology.org/2018.gwc-1.10) (Chakravarthi et al., GWC 2018)

• Improving Wordnets for Under-Resourced Languages Using Machine Translation (Chakravarthi et al., GWC 2018)

ACL

• Bharathi Raja Chakravarthi, Mihael Arcan, and John P. McCrae. 2018. Improving Wordnets for Under-Resourced Languages Using Machine Translation. In Proceedings of the 9th Global Wordnet Conference, pages 77–86, Nanyang Technological University (NTU), Singapore. Global Wordnet Association.