@InProceedings{khalifa-hassan-habash:2017:W17-13,
  author    = {Khalifa, Salam  and  Hassan, Sara  and  Habash, Nizar},
  title     = {A Morphological Analyzer for Gulf Arabic Verbs},
  booktitle = {Proceedings of the Third Arabic Natural Language Processing Workshop},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  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.},
  url       = {http://www.aclweb.org/anthology/W17-1305}
}