Shamela: A Large-Scale Historical Arabic Corpus
Yonatan Belinkov, Alexander Magidow, Maxim Romanov, Avi Shmidman, Moshe Koppel
Abstract
Arabic is a widely-spoken language with a rich and long history spanning more than fourteen centuries. Yet existing Arabic corpora largely focus on the modern period or lack sufficient diachronic information. We develop a large-scale, historical corpus of Arabic of about 1 billion words from diverse periods of time. We clean this corpus, process it with a morphological analyzer, and enhance it by detecting parallel passages and automatically dating undated texts. We demonstrate its utility with selected case-studies in which we show its application to the digital humanities.- Anthology ID:
- W16-4007
- Volume:
- Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH)
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editors:
- Erhard Hinrichs, Marie Hinrichs, Thorsten Trippel
- Venue:
- LT4DH
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 45–53
- Language:
- URL:
- https://aclanthology.org/W16-4007
- DOI:
- Cite (ACL):
- Yonatan Belinkov, Alexander Magidow, Maxim Romanov, Avi Shmidman, and Moshe Koppel. 2016. Shamela: A Large-Scale Historical Arabic Corpus. In Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH), pages 45–53, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- Shamela: A Large-Scale Historical Arabic Corpus (Belinkov et al., LT4DH 2016)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W16-4007.pdf