The Bahrain Corpus: A Multi-genre Corpus of Bahraini Arabic

Dana Abdulrahim, Go Inoue, Latifa Shamsan, Salam Khalifa, Nizar Habash


Abstract
In recent years, the focus on developing natural language processing (NLP) tools for Arabic has shifted from Modern Standard Arabic to various Arabic dialects. Various corpora of various sizes and representing different genres, have been created for a number of Arabic dialects. As far as Gulf Arabic is concerned, Gumar Corpus (Khalifa et al., 2016) is the largest corpus, to date, that includes data representing the dialectal Arabic of the six Gulf Cooperation Council countries (Bahrain, Kuwait, Saudi Arabia, Qatar, United Arab Emirates, and Oman), particularly in the genre of “online forum novels”. In this paper, we present the Bahrain Corpus. Our objective is to create a specialized corpus of the Bahraini Arabic dialect, which includes written texts as well as transcripts of audio files, belonging to a different genre (folktales, comedy shows, plays, cooking shows, etc.). The corpus comprises 620K words, carefully curated. We provide automatic morphological annotations of the full corpus using state-of-the-art morphosyntactic disambiguation for Gulf Arabic. We validate the quality of the annotations on a 7.6K word sample. We plan to make the annotated sample as well as the full corpus publicly available to support researchers interested in Arabic NLP.
Anthology ID:
2022.lrec-1.251
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
2345–2352
Language:
URL:
https://aclanthology.org/2022.lrec-1.251
DOI:
Bibkey:
Cite (ACL):
Dana Abdulrahim, Go Inoue, Latifa Shamsan, Salam Khalifa, and Nizar Habash. 2022. The Bahrain Corpus: A Multi-genre Corpus of Bahraini Arabic. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 2345–2352, Marseille, France. European Language Resources Association.
Cite (Informal):
The Bahrain Corpus: A Multi-genre Corpus of Bahraini Arabic (Abdulrahim et al., LREC 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.lrec-1.251.pdf
Data
Gumar Corpus