Pre-annotation Matters: A Comparative Study on POS and Dependency Annotation for an Alsatian Dialect
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AH3ZTHNMF" target="_blank" >RIV/00216208:11320/26:H3ZTHNMF - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2025.law-1.14/" target="_blank" >https://aclanthology.org/2025.law-1.14/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2025.law-1.14" target="_blank" >10.18653/v1/2025.law-1.14</a>
Alternative languages
Result language
angličtina
Original language name
Pre-annotation Matters: A Comparative Study on POS and Dependency Annotation for an Alsatian Dialect
Original language description
The annotation of corpora for lower-resource languages can benefit from automatic pre-annotation to increase the throughput of the annotation process in a a context where human resources are scarce. However, this can be hindered by the lack of available pre-annotation tools. In this work, we compare three pre-annotation methods in zero-shot or near-zero-shot contexts for part-of-speech (POS) and dependency annotation of an Alsatian Alemannic dialect. Our study shows that good levels of annotation quality can be achieved, with human annotators adapting their correction effort to the perceived quality of the pre-annotation. The pre-annotation tools also vary in efficiency depending on the task, with better global results for a system trained on closely related languages and dialects.
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 19th Linguistic Annotation Workshop (LAW-XIX-2025)
ISBN
979-8-89176-262-6
ISSN
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e-ISSN
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Number of pages
14
Pages from-to
173-186
Publisher name
Association for Computational Linguistics
Place of publication
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Event location
Vienna, Austria
Event date
Jan 1, 2026
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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