Managing Noise in Part-of-Speech Tagging for Extremely Low-Resource Languages: Comparing Strategies for Corpus Collection and Annotation in Dagur and Alsatian

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3ASRCF7U3B" target="_blank" >RIV/00216208:11320/26:SRCF7U3B - isvavai.cz</a>

Result on the web

<a href="https://journals.openedition.org/corpus/9177" target="_blank" >https://journals.openedition.org/corpus/9177</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4000/13654" target="_blank" >10.4000/13654</a>

Result language

angličtina

Original language name

Managing Noise in Part-of-Speech Tagging for Extremely Low-Resource Languages: Comparing Strategies for Corpus Collection and Annotation in Dagur and Alsatian

Original language description

Although Dagur and Alsatian represent two typologically distant language families, they share several similarities: both languages are endangered, do not have a unified spelling system, and have few available digital corpora. Given these challenges, the main aim of this article is to compare the noise in corpora for these languages and its impact on part-of-speech (POS) annotation and tagging. We first discuss what strategies can be used to reduce the noise due to spelling inconsistencies observed during corpus collection, using Dagur as an example. We then observe that the distributions of POS trigrams in the manually annotated Dagur and Alsatian corpora are similar to those of typologically related languages in UD v2.12, laying the foundations for experimenting with zero-shot transfer approaches for automatic POS tagging. We evaluate some simple noise reduction strategies for POS tagging using the example of the Alsatian dialects and relying on their proximity to standard German. The results obtained confirm the important role of linguistic proximity in automatic POS tagging and the effectiveness of the proposed data transformation method. However, they also invite further interpretation of the capacities of multilingual models.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

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)

Project

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Continuities

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Publication year

2025

Confidentiality

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

Name of the periodical

Corpus

ISSN

1765-3126

e-ISSN

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Volume of the periodical

2025

Issue of the periodical within the volume

26

Country of publishing house

US - UNITED STATES

Number of pages

19

Pages from-to

1-19

UT code for WoS article

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EID of the result in the Scopus database

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