<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="gessler-etal-2025-understanding">
    <titleInfo>
        <title>Understanding the Gap: an Analysis of Research Collaborations in NLP and Language Documentation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Luke</namePart>
        <namePart type="family">Gessler</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Alexis</namePart>
        <namePart type="family">Palmer</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Katharina</namePart>
        <namePart type="given">Von</namePart>
        <namePart type="given">Der</namePart>
        <namePart type="family">Wense</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2025-07</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Findings of the Association for Computational Linguistics: ACL 2025</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Wanxiang</namePart>
            <namePart type="family">Che</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Joyce</namePart>
            <namePart type="family">Nabende</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Ekaterina</namePart>
            <namePart type="family">Shutova</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Mohammad</namePart>
            <namePart type="given">Taher</namePart>
            <namePart type="family">Pilehvar</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Vienna, Austria</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-256-5</identifier>
    </relatedItem>
    <abstract>Despite over 20 years of NLP work explicitly intended for application in language documentation (LD), practical use of this work remains vanishingly scarce. This issue has been noted and discussed over the past 10 years, but without the benefit of data to inform the discourse.To address this lack in the literature, we present a survey- and interview-based analysis of the lack of adoption of NLP in LD, focusing on the matter of collaborations between documentary linguists and NLP researchers. Our data show support for ideas from previous work but also reveal the importance of little-discussed factors such as misaligned professional incentives, technical knowledge burdens, and LD software.</abstract>
    <identifier type="citekey">gessler-etal-2025-understanding</identifier>
    <identifier type="doi">10.18653/v1/2025.findings-acl.48</identifier>
    <location>
        <url>https://aclanthology.org/2025.findings-acl.48/</url>
    </location>
    <part>
        <date>2025-07</date>
        <extent unit="page">
            <start>867</start>
            <end>877</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Understanding the Gap: an Analysis of Research Collaborations in NLP and Language Documentation
%A Gessler, Luke
%A Palmer, Alexis
%A Wense, Katharina Von Der
%Y Che, Wanxiang
%Y Nabende, Joyce
%Y Shutova, Ekaterina
%Y Pilehvar, Mohammad Taher
%S Findings of the Association for Computational Linguistics: ACL 2025
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-256-5
%F gessler-etal-2025-understanding
%X Despite over 20 years of NLP work explicitly intended for application in language documentation (LD), practical use of this work remains vanishingly scarce. This issue has been noted and discussed over the past 10 years, but without the benefit of data to inform the discourse.To address this lack in the literature, we present a survey- and interview-based analysis of the lack of adoption of NLP in LD, focusing on the matter of collaborations between documentary linguists and NLP researchers. Our data show support for ideas from previous work but also reveal the importance of little-discussed factors such as misaligned professional incentives, technical knowledge burdens, and LD software.
%R 10.18653/v1/2025.findings-acl.48
%U https://aclanthology.org/2025.findings-acl.48/
%U https://doi.org/10.18653/v1/2025.findings-acl.48
%P 867-877

Markdown (Informal)

[Understanding the Gap: an Analysis of Research Collaborations in NLP and Language Documentation](https://aclanthology.org/2025.findings-acl.48/) (Gessler et al., Findings 2025)

• Understanding the Gap: an Analysis of Research Collaborations in NLP and Language Documentation (Gessler et al., Findings 2025)

ACL

• Luke Gessler, Alexis Palmer, and Katharina Von Der Wense. 2025. Understanding the Gap: an Analysis of Research Collaborations in NLP and Language Documentation. In Findings of the Association for Computational Linguistics: ACL 2025, pages 867–877, Vienna, Austria. Association for Computational Linguistics.