A Morphological Analyzer for Gulf Arabic Verbs

Salam Khalifa, Sara Hassan, Nizar Habash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present CALIMAGLF, a Gulf Arabic morphological analyzer currently covering over 2,600 verbal lemmas. We describe in detail the process of building the analyzer starting from phonetic dictionary entries to fully inflected orthographic paradigms and associated lexicon and orthographic variants. We evaluate the coverage of CALIMA-GLF against Modern Standard Arabic and Egyptian Arabic analyzers on part of a Gulf Arabic novel. CALIMA-GLF verb analysis token recall for identifying correct POS tag outperforms both the Modern Standard Arabic and Egyptian Arabic analyzers by over 27.4% and 16.9% absolute, respectively.
Original languageUndefined
Title of host publicationProceedings of the Third Arabic Natural Language Processing Workshop
Place of PublicationValencia, Spain
PublisherAssociation for Computational Linguistics (ACL)
Pages35-45
Number of pages11
DOIs
StatePublished - Apr 1 2017

Cite this

Khalifa, S., Hassan, S., & Habash, N. (2017). A Morphological Analyzer for Gulf Arabic Verbs. In Proceedings of the Third Arabic Natural Language Processing Workshop (pp. 35-45). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/W17-1305