Predicting the Proficiency Level of Nonnative Hebrew Authors

Isabelle Nguyen, Shuly Wintner


Abstract
We present classifiers that can accurately predict the proficiency level of nonnative Hebrew learners. This is important for practical (mainly educational) applications, but the endeavor also sheds light on the features that support the classification, thereby improving our understanding of learner language in general, and transfer effects from Arabic, French, and Russian on nonnative Hebrew in particular.
Anthology ID:
2022.lrec-1.573
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
5356–5365
Language:
URL:
https://aclanthology.org/2022.lrec-1.573
DOI:
Bibkey:
Cite (ACL):
Isabelle Nguyen and Shuly Wintner. 2022. Predicting the Proficiency Level of Nonnative Hebrew Authors. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 5356–5365, Marseille, France. European Language Resources Association.
Cite (Informal):
Predicting the Proficiency Level of Nonnative Hebrew Authors (Nguyen & Wintner, LREC 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/2022.lrec-1.573.pdf