Understanding the Gap: an Analysis of Research Collaborations in NLP and Language Documentation

Luke Gessler, Alexis Palmer, Katharina Von Der Wense


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.
Anthology ID:
2025.findings-acl.48
Volume:
Findings of the Association for Computational Linguistics: ACL 2025
Month:
July
Year:
2025
Address:
Vienna, Austria
Editors:
Wanxiang Che, Joyce Nabende, Ekaterina Shutova, Mohammad Taher Pilehvar
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
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Pages:
867–877
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URL:
https://preview.aclanthology.org/landing_page/2025.findings-acl.48/
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Cite (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.
Cite (Informal):
Understanding the Gap: an Analysis of Research Collaborations in NLP and Language Documentation (Gessler et al., Findings 2025)
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PDF:
https://preview.aclanthology.org/landing_page/2025.findings-acl.48.pdf