Year: 2017
Type: conference-paper
Abstract: We present CALIMA GLF , 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.
DOI: 10.18653/v1/w17-1305
Authors: Salam Khalifa, Sara Hassan, Nizar Habash
Institution: New York University Abu Dhabi
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2740645003