""I Need More Context and an English Translation"": Analysing How LLMs Identify Personal Information in Komi, Polish, and English

Kód výsledku v 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>

Výsledek na webu

<a href="https://aclanthology.org/2025.resourceful-1.32/" target="_blank" >https://aclanthology.org/2025.resourceful-1.32/</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

""I Need More Context and an English Translation"": Analysing How LLMs Identify Personal Information in Komi, Polish, and English

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

""I Need More Context and an English Translation"": Analysing How LLMs Identify Personal Information in Komi, Polish, and English

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the Third Workshop on Resources and Representations for Under-Resourced Languages and Domains

ISBN

978-9908-53-121-2

ISSN

—

e-ISSN

—

Počet stran výsledku

14

Strana od-do

165-178

Název nakladatele

—

Místo vydání

—

Místo konání akce

Tallinn, Estonia

Datum konání akce

1. 1. 2026

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—