Title :
Revisiting Arabic Part of Speech Tagsets
Author :
Elhadj, Yahya O. M. ; Abdelali, Ahmed ; Bouziane, Rachid ; Ammar, Adel H.
Author_Institution :
Center for Arabic & Islamic Comput., Al Imam Mohammad Univ., Riyadh, Saudi Arabia
Abstract :
Assigning the appropriate grammatical category to a word given a context is very important step in major areas of natural language processing. A limited numbers of Part of Speech Taggers currently exist for Arabic. These taggers mainly adopt tagsets that were developed for languages such as English. In this paper we present an effort of proposing a revised categories for Arabic POS tags that would take into consideration the richness of the language as well as its compatibility for automatic processing.
Keywords :
grammars; natural language processing; Arabic POS tags; Arabic part of speech taggers; automatic processing; grammatical category; natural language processing; Compounds; Computational linguistics; Context; Hidden Markov models; Pragmatics; Speech; Tagging; Arabic Language; Linguistic Features; Morphology; Natural Language Processing; Part of Speech; Syntax; Tagging;
Conference_Titel :
Computer Systems and Applications (AICCSA), 2014 IEEE/ACS 11th International Conference on
DOI :
10.1109/AICCSA.2014.7073282
