This paper describes the error correction model that we used for the QALB- 2015 Automatic Correction of Arabic Text shared task. We employed a case-specific correction approach that handles specific error types such as dialectal word substitution and word splits and merges with the aid of a language model. We also applied corrections that are specific to second language learners that handle erroneous preposition selection, definiteness, and gender-number agreement.
CITATION STYLE
Mubarak, H., Darwish, K., & Abdelali, A. (2015). Qcri@qalb-2015 shared task:correction of arabic text for native and non-native speakers’ errors. In 2nd Workshop on Arabic Natural Language Processing, ANLP 2015 - held at 53rd Annual Meeting of the Association for Computational Linguistics, ACL 2015 - Proceedings (pp. 150–154). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w15-3218
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