Orthographic and Morphological Processing for Persian-to-English Statistical Machine Translation
Mohammad Sadegh Rasooli, Ahmed El Kholy, Nizar Y. Habash · 2013
In statistical machine translation, data sparsity is a challenging problem espe-cially for languages with rich morphology and inconsistent orthography, such as Per-sian. We show that orthographic prepro-cessing and morphological segmentation of Persian verbs in particular improves the translation quality of Persian-English by 1.9 BLEU points on a blind test set. 1