Morphological Tagging in Bribri Using Universal Dependency Features

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AQILZVPIU" target="_blank" >RIV/00216208:11320/25:QILZVPIU - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216933656&doi=10.18653%2fv1%2f2024.americasnlp-1.8&partnerID=40&md5=b9f65fc65498406d8951b5a6404dc50e" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216933656&doi=10.18653%2fv1%2f2024.americasnlp-1.8&partnerID=40&md5=b9f65fc65498406d8951b5a6404dc50e</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.18653/v1/2024.americasnlp-1.8" target="_blank" >10.18653/v1/2024.americasnlp-1.8</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Morphological Tagging in Bribri Using Universal Dependency Features

Popis výsledku v původním jazyce

This paper outlines the Universal Features tagging of a dependency treebank for Bribri, an Indigenous language of Costa Rica. Universal Features are a morphosyntactic tagging component of Universal Dependencies, which is a framework that aims to provide an annotation system inclusive of all languages and their diverse structures (Nivre et al., 2016; de Marneffe et al., 2021). We used a rule-based system to do a first-pass tagging of a treebank of 1572 words. After manual corrections, the treebank contained 3051 morphological features. We then used this morphologically-tagged treebank to train a UDPipe 2 parsing and tagging model. This model has a UFEATS precision of 80.5 ± 3.6, which is a statistically significant improvement upon the previously available FOMA-based morphological tagger for Bribri. An error analysis suggests that missing TAM and case markers are the most common problem for the model. We hope to use this model to expand upon existing treebanks and facilitate the construction of linguistically-annotated corpora for the language. © 2024 Association for Computational Linguistics.

Název v anglickém jazyce

Morphological Tagging in Bribri Using Universal Dependency Features

Popis výsledku anglicky

This paper outlines the Universal Features tagging of a dependency treebank for Bribri, an Indigenous language of Costa Rica. Universal Features are a morphosyntactic tagging component of Universal Dependencies, which is a framework that aims to provide an annotation system inclusive of all languages and their diverse structures (Nivre et al., 2016; de Marneffe et al., 2021). We used a rule-based system to do a first-pass tagging of a treebank of 1572 words. After manual corrections, the treebank contained 3051 morphological features. We then used this morphologically-tagged treebank to train a UDPipe 2 parsing and tagging model. This model has a UFEATS precision of 80.5 ± 3.6, which is a statistically significant improvement upon the previously available FOMA-based morphological tagger for Bribri. An error analysis suggests that missing TAM and case markers are the most common problem for the model. We hope to use this model to expand upon existing treebanks and facilitate the construction of linguistically-annotated corpora for the language. © 2024 Association for Computational Linguistics.

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

—

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

AmericasNLP - Workshop Nat. Lang. Process. Indig. Lang. Am. - Proc. Workshop

ISBN

979-889176108-7

ISSN

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e-ISSN

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Počet stran výsledku

11

Strana od-do

56-66

Název nakladatele

Association for Computational Linguistics (ACL)

Místo vydání

—

Místo konání akce

Mexico City

Datum konání akce

1. 1. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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