Multi-Parallel Corpus of North Levantine Arabic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F23%3A10475890" target="_blank" >RIV/00216208:11210/23:10475890 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/23:10475890
Result on the web
<a href="https://aclanthology.org/2023.arabicnlp-1.34/" target="_blank" >https://aclanthology.org/2023.arabicnlp-1.34/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2023.arabicnlp-1.34" target="_blank" >10.18653/v1/2023.arabicnlp-1.34</a>
Alternative languages
Result language
angličtina
Original language name
Multi-Parallel Corpus of North Levantine Arabic
Original language description
Low-resource Machine Translation (MT) is characterized by the scarce availability of training data and/or standardized evaluation benchmarks. In the context of Dialectal Arabic, recent works introduced several evaluation benchmarks covering both Modern Standard Arabic (MSA) and dialects, mapping, however, mostly to a single Indo-European language - English. In this work, we introduce a multi-lingual corpus consisting of 120,600 multi-parallel sentences in English, French, German, Greek, Spanish, and MSA selected from the OpenSubtitles corpus, which were manually translated into the North Levantine Arabic. By conducting a series of training and fine-tuning experiments, we explore how this novel resource can contribute to the research on Arabic MT. We make the dataset publicly available at http://hdl.handle.net/11234/1-5033 for research purposes.
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
Proceedings of ArabicNLP 2023
ISBN
978-1-959429-27-2
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
411-417
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Singapore, Singapore
Event date
Dec 7, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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