ViLexNorm: A Lexical Normalization Corpus for Vietnamese Social Media Text
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3APRHYIPHG" target="_blank" >RIV/00216208:11320/25:PRHYIPHG - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189930873&partnerID=40&md5=92c29d20b64982f240c5eb36f7330fe3" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189930873&partnerID=40&md5=92c29d20b64982f240c5eb36f7330fe3</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
ViLexNorm: A Lexical Normalization Corpus for Vietnamese Social Media Text
Original language description
Lexical normalization, a fundamental task in Natural Language Processing (NLP), involves the transformation of words into their canonical forms. This process has been proven to benefit various downstream NLP tasks greatly. In this work, we introduce Vietnamese Lexical Normalization (VILEXNORM), the first-ever corpus developed for the Vietnamese lexical normalization task. The corpus comprises over 10, 000 pairs of sentences meticulously annotated by human annotators, sourced from public comments on Vietnam's most popular social media platforms. Various methods were used to evaluate our corpus, and the best-performing system achieved a result of 57.74% using the Error Reduction Rate (ERR) metric (van der Goot, 2019a) with the Leave-As-Is (LAI) baseline. For extrinsic evaluation, employing the model trained on VILEXNORM demonstrates the positive impact of the Vietnamese lexical normalization task on other NLP tasks. Our corpus is publicly available exclusively for research purposes. © 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
EACL - Conf. European Chapter Assoc. Comput. Linguist., Proc. Conf.
ISBN
979-889176088-2
ISSN
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e-ISSN
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Number of pages
17
Pages from-to
1421-1437
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
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Event location
St. Julian's
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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