Pre-annotation Matters: A Comparative Study on POS and Dependency Annotation for an Alsatian Dialect

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Pre-annotation Matters: A Comparative Study on POS and Dependency Annotation for an Alsatian Dialect

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Pre-annotation Matters: A Comparative Study on POS and Dependency Annotation for an Alsatian Dialect

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

—

Návaznosti

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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 19th Linguistic Annotation Workshop (LAW-XIX-2025)

ISBN

979-8-89176-262-6

ISSN

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e-ISSN

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Počet stran výsledku

14

Strana od-do

173-186

Název nakladatele

Association for Computational Linguistics

Místo vydání

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Místo konání akce

Vienna, Austria

Datum konání akce

1. 1. 2026

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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