Lahjawi: Arabic Cross-Dialect Translator
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3A6WXVZH26" target="_blank" >RIV/00216208:11320/26:6WXVZH26 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/26:XZCG76TJ
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Lahjawi: Arabic Cross-Dialect Translator
Original language description
In this paper, we explore the rich diversity of Arabic dialects by introducing a suite of pioneering models called Lahjawi. The primary model, Lahjawi-D2D, is the first designed for cross-dialect translation among 15 Arabic dialects. Furthermore, we introduce Lahjawi-D2MSA, a model designed to convert any Arabic dialect into Modern Standard Arabic (MSA). Both models are fine-tuned versions of Kuwain-1.5B1 an in-house built small language model, tailored for Arabic linguistic characteristics. We provide a detailed overview of Lahjawi’s architecture and training methods, along with a comprehensive evaluation of its performance. The results demonstrate Lahjawi’s success in preserving meaning and style, with BLEU scores of 9.62 for dialect-to-MSA and 9.88 for dialect-to-dialect tasks. Additionally, human evaluation reveals an accuracy score of 58% and a fluency score of 78%, underscoring Lahjawi’s robust handling of diverse dialectal nuances. This research sets a foundation for future advancements in Arabic NLP and cross-dialect communication technologies. © 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
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Int. Conf. Comput. Linguist., COLING - WACL, Workshop Arab. Corpus Linguist. - Proc. Workshop
ISBN
979-8-89176-220-6
ISSN
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e-ISSN
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Number of pages
13
Pages from-to
12-24
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
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Event location
Abu Dhabi
Event date
Jan 1, 2026
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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