Part of
Challenges for Arabic Machine TranslationEdited by Abdelhadi Soudi, Ali Farghaly, Günter Neumann and Rabih Zbib
[Natural Language Processing 9] 2012
► pp. 95–108
Edited by Abdelhadi Soudi, Ali Farghaly, Günter Neumann and Rabih Zbib
[Natural Language Processing 9] 2012
► pp. 95–108
Preprocessing for English-to-Arabic Statistical Machine Translation
Most research in Arabic Statistical Machine Translation (SMT) has focused on translating from Arabic into English and other languages. Translation to Arabic has drawn very little attention so far, despite being an important, as well as technically challenging task. This chapter describes the application of two preprocessing techniques to English-to-Arabic SMT: Morphological Segmentation and Syntactic Reordering. It shows how these techniques can be adapted to apply to translation into Arabic, providing significant improvements to a phrase-based system.
Cited by (1)
Cited by one other publication
Biadgligne, Yohanens & Kamel Smaïli
2021. Parallel Corpora Preparation for English-Amharic Machine Translation. In Advances in Computational Intelligence [Lecture Notes in Computer Science, 12861], ► pp. 443 ff. 
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