A New State-of-the-Art BERT Model for Judeo-Arabic

Elisha Rosensweig, Yitzchak Lindenbaum, Hillel Gershuni, Vered Raziel-Kretzmer, Daniel Caine, Avi Shmidman


Abstract
We present JABERT, the first BERT model pretrained specifically for historical Judeo-Arabic texts. We demonstrate that JABERT outperforms Arabic and multilingual models on the downstream task of Judeo-Arabic homograph disambiguation. Furthermore, in order to test the latter, we have curated and annotated the first Judeo-Arabic homograph test set. We release both JABERT and the Judeo-Arabic homograph test to the public for unrestricted use.
Anthology ID:
2026.lt4hala-1.6
Volume:
Proceedings of the Fourth Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA 2026) @ LREC 2026
Month:
May
Year:
2026
Address:
Palma, Mallorca (Spain)
Editors:
Rachele Sprugnoli, Marco Passarotti
Venues:
LT4HALA | WS
SIG:
Publisher:
ELRA Language Resources Association (ELRA)
Note:
Pages:
58–71
Language:
External URL:
https://lrec.elra.info/lrec2026-ws-lt4hala-06
DOI:
10.63317/52qpsk7c5bfc
Bibkey:
Cite (ACL):
Elisha Rosensweig, Yitzchak Lindenbaum, Hillel Gershuni, Vered Raziel-Kretzmer, Daniel Caine, and Avi Shmidman. 2026. A New State-of-the-Art BERT Model for Judeo-Arabic. In Proceedings of the Fourth Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA 2026) @ LREC 2026, pages 58–71, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).
Cite (Informal):
A New State-of-the-Art BERT Model for Judeo-Arabic (Rosensweig et al., LT4HALA 2026)
Copy Citation: