DIALECTBENCH: A NLP Benchmark for Dialects, Varieties, and Closely-Related Languages
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AJW22F7F9" target="_blank" >RIV/00216208:11320/25:JW22F7F9 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204493211&partnerID=40&md5=55141a7c83509b4afc5d081bc6afa13c" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204493211&partnerID=40&md5=55141a7c83509b4afc5d081bc6afa13c</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
DIALECTBENCH: A NLP Benchmark for Dialects, Varieties, and Closely-Related Languages
Original language description
Language technologies should be judged on their usefulness in real-world use cases. An often overlooked aspect in natural language processing (NLP) research and evaluation is language variation in the form of non-standard dialects or language varieties (hereafter, varieties). Most NLP benchmarks are limited to standard language varieties. To fill this gap, we propose DIALECTBENCH, the first-ever large-scale benchmark for NLP on varieties, which aggregates an extensive set of task-varied variety datasets (10 text-level tasks covering 281 varieties). This allows for a comprehensive evaluation of NLP system performance on different language varieties. We provide substantial evidence of performance disparities between standard and non-standard language varieties, and we also identify language clusters with larger performance divergence across tasks. We believe DIALECTBENCH provides a comprehensive view of the current state of NLP for language varieties and one step towards advancing it further. © 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
Proc. Annu. Meet. Assoc. Comput Linguist.
ISBN
979-889176094-3
ISSN
0736-587X
e-ISSN
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Number of pages
43
Pages from-to
14412-14454
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
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Event location
Bangkok
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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