Revisiting Arabic Part of Speech Tagsets

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.