Enriching the NArabizi Treebank: A Multifaceted Approach to Supporting an Under-Resourced Language
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A8CDNPPHI" target="_blank" >RIV/00216208:11320/23:8CDNPPHI - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174836652&partnerID=40&md5=dde09065d6e1cc3cf207198aade9f20f" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174836652&partnerID=40&md5=dde09065d6e1cc3cf207198aade9f20f</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Enriching the NArabizi Treebank: A Multifaceted Approach to Supporting an Under-Resourced Language
Original language description
"In this paper we address the scarcity of annotated data for NArabizi, a Romanized form of North African Arabic used mostly on social media, which poses challenges for Natural Language Processing (NLP). We introduce an enriched version of NArabizi Treebank (Seddah et al., 2020) with three main contributions: the addition of two novel annotation layers (named entity recognition and offensive language detection) and a re-annotation of the tokenization, morpho-syntactic and syntactic layers that ensure annotation consistency. Our experimental results, using different tokenization schemes, showcase the value of our contributions and highlight the impact of working with non-gold tokenization for NER and dependency parsing. To facilitate future research, we make these annotations publicly available. Our enhanced NArabizi Treebank paves the way for creating sophisticated language models and NLP tools for this under-represented language. © 2023 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
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
"Proc. Annu. Meet. Assoc. Comput Linguist."
ISBN
978-195942983-8
ISSN
0736-587X
e-ISSN
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Number of pages
13
Pages from-to
266-278
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
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Event location
Cham
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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