Morphological Tagging in Bribri Using Universal Dependency Features
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Morphological Tagging in Bribri Using Universal Dependency Features
Original language description
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.
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
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
11
Pages from-to
56-66
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
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Event location
Mexico City
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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