<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="moape-etal-2024-developing">
    <titleInfo>
        <title>Developing Bilingual English-Setswana Datasets for Space Domain</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Tebatso</namePart>
        <namePart type="given">G</namePart>
        <namePart type="family">Moape</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Sunday</namePart>
        <namePart type="given">Olusegun</namePart>
        <namePart type="family">Ojo</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Oludayo</namePart>
        <namePart type="given">O</namePart>
        <namePart type="family">Olugbara</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2024-05</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Fifth Workshop on Resources for African Indigenous Languages @ LREC-COLING 2024</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Rooweither</namePart>
            <namePart type="family">Mabuya</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Muzi</namePart>
            <namePart type="family">Matfunjwa</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Mmasibidi</namePart>
            <namePart type="family">Setaka</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Menno</namePart>
            <namePart type="family">van Zaanen</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>ELRA and ICCL</publisher>
            <place>
                <placeTerm type="text">Torino, Italia</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In the current digital age, languages lacking digital presence face an imminent risk of extinction. In addition, the absence of digital resources poses a significant obstacle to the development of Natural Language Processing (NLP) applications for such languages. Therefore, the development of digital language resources contributes to the preservation of these languages and enables application development. This paper contributes to the ongoing efforts of developing language resources for South African languages with a specific focus on Setswana and presents a new English-Setswana bilingual dataset that focuses on the space domain. The dataset was constructed using the expansion method. A subset of space domain English synsets from Princeton WordNet was professionally translated to Setswana. The initial submission of translations demonstrated an accuracy rate of 99% before validation. After validation, continuous revisions and discussions between translators and validators resulted in a unanimous agreement, ultimately achieving a 100% accuracy rate. The final version of the resource was converted into an XML format due to its machine-readable framework, providing a structured hierarchy for the organization of linguistic data.</abstract>
    <identifier type="citekey">moape-etal-2024-developing</identifier>
    <location>
        <url>https://aclanthology.org/2024.rail-1.4</url>
    </location>
    <part>
        <date>2024-05</date>
        <extent unit="page">
            <start>32</start>
            <end>36</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Developing Bilingual English-Setswana Datasets for Space Domain
%A Moape, Tebatso G.
%A Ojo, Sunday Olusegun
%A Olugbara, Oludayo O.
%Y Mabuya, Rooweither
%Y Matfunjwa, Muzi
%Y Setaka, Mmasibidi
%Y van Zaanen, Menno
%S Proceedings of the Fifth Workshop on Resources for African Indigenous Languages @ LREC-COLING 2024
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F moape-etal-2024-developing
%X In the current digital age, languages lacking digital presence face an imminent risk of extinction. In addition, the absence of digital resources poses a significant obstacle to the development of Natural Language Processing (NLP) applications for such languages. Therefore, the development of digital language resources contributes to the preservation of these languages and enables application development. This paper contributes to the ongoing efforts of developing language resources for South African languages with a specific focus on Setswana and presents a new English-Setswana bilingual dataset that focuses on the space domain. The dataset was constructed using the expansion method. A subset of space domain English synsets from Princeton WordNet was professionally translated to Setswana. The initial submission of translations demonstrated an accuracy rate of 99% before validation. After validation, continuous revisions and discussions between translators and validators resulted in a unanimous agreement, ultimately achieving a 100% accuracy rate. The final version of the resource was converted into an XML format due to its machine-readable framework, providing a structured hierarchy for the organization of linguistic data.
%U https://aclanthology.org/2024.rail-1.4
%P 32-36

Markdown (Informal)

[Developing Bilingual English-Setswana Datasets for Space Domain](https://aclanthology.org/2024.rail-1.4) (Moape et al., RAIL-WS 2024)

• Developing Bilingual English-Setswana Datasets for Space Domain (Moape et al., RAIL-WS 2024)

ACL

• Tebatso G. Moape, Sunday Olusegun Ojo, and Oludayo O. Olugbara. 2024. Developing Bilingual English-Setswana Datasets for Space Domain. In Proceedings of the Fifth Workshop on Resources for African Indigenous Languages @ LREC-COLING 2024, pages 32–36, Torino, Italia. ELRA and ICCL.