Multi-Parallel Corpus of North Levantine Arabic

Mateusz Krubiński, Hashem Sellat, Shadi Saleh, Adam Pospíšil, Petr Zemánek, Pavel Pecina


Abstract
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.
Anthology ID:
2023.arabicnlp-1.34
Volume:
Proceedings of ArabicNLP 2023
Month:
December
Year:
2023
Address:
Singapore (Hybrid)
Editors:
Hassan Sawaf, Samhaa El-Beltagy, Wajdi Zaghouani, Walid Magdy, Ahmed Abdelali, Nadi Tomeh, Ibrahim Abu Farha, Nizar Habash, Salam Khalifa, Amr Keleg, Hatem Haddad, Imed Zitouni, Khalil Mrini, Rawan Almatham
Venues:
ArabicNLP | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
411–417
Language:
URL:
https://aclanthology.org/2023.arabicnlp-1.34
DOI:
10.18653/v1/2023.arabicnlp-1.34
Bibkey:
Cite (ACL):
Mateusz Krubiński, Hashem Sellat, Shadi Saleh, Adam Pospíšil, Petr Zemánek, and Pavel Pecina. 2023. Multi-Parallel Corpus of North Levantine Arabic. In Proceedings of ArabicNLP 2023, pages 411–417, Singapore (Hybrid). Association for Computational Linguistics.
Cite (Informal):
Multi-Parallel Corpus of North Levantine Arabic (Krubiński et al., ArabicNLP-WS 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-5/2023.arabicnlp-1.34.pdf