@inproceedings{khalifa-etal-2017-morphological,
title = "A Morphological Analyzer for {G}ulf {A}rabic Verbs",
author = "Khalifa, Salam and
Hassan, Sara and
Habash, Nizar",
editor = "Habash, Nizar and
Diab, Mona and
Darwish, Kareem and
El-Hajj, Wassim and
Al-Khalifa, Hend and
Bouamor, Houda and
Tomeh, Nadi and
El-Haj, Mahmoud and
Zaghouani, Wajdi",
booktitle = "Proceedings of the Third {A}rabic Natural Language Processing Workshop",
month = apr,
year = "2017",
address = "Valencia, Spain",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-1305",
doi = "10.18653/v1/W17-1305",
pages = "35--45",
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.",
}
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%0 Conference Proceedings
%T A Morphological Analyzer for Gulf Arabic Verbs
%A Khalifa, Salam
%A Hassan, Sara
%A Habash, Nizar
%Y Habash, Nizar
%Y Diab, Mona
%Y Darwish, Kareem
%Y El-Hajj, Wassim
%Y Al-Khalifa, Hend
%Y Bouamor, Houda
%Y Tomeh, Nadi
%Y El-Haj, Mahmoud
%Y Zaghouani, Wajdi
%S Proceedings of the Third Arabic Natural Language Processing Workshop
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F khalifa-etal-2017-morphological
%X 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.
%R 10.18653/v1/W17-1305
%U https://aclanthology.org/W17-1305
%U https://doi.org/10.18653/v1/W17-1305
%P 35-45
Markdown (Informal)
[A Morphological Analyzer for Gulf Arabic Verbs](https://aclanthology.org/W17-1305) (Khalifa et al., WANLP 2017)
ACL
- Salam Khalifa, Sara Hassan, and Nizar Habash. 2017. A Morphological Analyzer for Gulf Arabic Verbs. In Proceedings of the Third Arabic Natural Language Processing Workshop, pages 35–45, Valencia, Spain. Association for Computational Linguistics.