""I Need More Context and an English Translation"": Analysing How LLMs Identify Personal Information in Komi, Polish, and English
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AQYNH2SU8" target="_blank" >RIV/00216208:11320/26:QYNH2SU8 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2025.resourceful-1.32/" target="_blank" >https://aclanthology.org/2025.resourceful-1.32/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
""I Need More Context and an English Translation"": Analysing How LLMs Identify Personal Information in Komi, Polish, and English
Original language description
Automatic identification of personal information (PI) is particularly difficult for languages with limited linguistic resources. Recently, large language models (LLMs) have been applied to various tasks involving low-resourced languages, but their capability to process PI in such contexts remains under-explored. In this paper we provide a qualitative analysis of the outputs from three LLMs prompted to identify PI in texts written in Komi (Permyak and Zyrian), Polish, and English. Our analysis highlights challenges in using pre-trained LLMs for PI identification in both low- and medium-resourced languages. It also motivates the need to develop LLMs that understand the differences in how PI is expressed across languages with varying levels of availability of linguistic resources.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Third Workshop on Resources and Representations for Under-Resourced Languages and Domains
ISBN
978-9908-53-121-2
ISSN
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e-ISSN
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Number of pages
14
Pages from-to
165-178
Publisher name
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Place of publication
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Event location
Tallinn, Estonia
Event date
Jan 1, 2026
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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