Paper: Integrating morpho-syntactic features in English-Arabic statistical machine translation

ACL ID W13-2811
Title Integrating morpho-syntactic features in English-Arabic statistical machine translation
Venue Workshop on Hybrid Approaches to Translation
Session
Year 2013
Authors

This paper presents a hybrid approach to the enhancement of English to Arabic statistical machine translation quality. Machine Transla- tion has been defined as the process that utiliz- es computer software to translate text from one natural language to another. Arabic, as a mor- phologically rich language, is a highly flex- ional language, in that the same root can lead to various forms according to its context. Sta- tistical machine translation (SMT) engines of- ten show poor syntax processing especially when the language used is morphologically rich such as Arabic. In this paper, to overcome these shortcomings, we describe our hybrid approach which integrates knowledge of the Arabic language into statistical machine trans- lation. In this framework, we propose the use of a fea...