Year: 2015
Type: conference-paper
Abstract: We present an approach to Arabic automatic diacritization that integrates syntactic analysis with morphological tagging through improving the prediction of case and state features.Our best system increases the accuracy of word diacritization by 2.5% absolute on all words, and 5.2% absolute on nominals over a state-of-theart baseline.Similar increases are shown on the full morphological analysis choice.
DOI: 10.18653/v1/d15-1152
Authors: Anas Shahrour, Salam Khalifa, 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: W2250509225