The Amirkabir Machine Transliteration System for NEWS 2011: Farsi-to-English Task
نویسندگان
چکیده
In this paper we describe the statistical machine transliteration system of Amirkabir University of Technology, developed for NEWS 2011 shared task. This year we participated in English to Persian language pair. We use three systems for transliteration: the first system is a maximum entropy model with a new proposed alignment algorithm. The second system is Sequitur g2p tool, an open source grapheme to phoneme convertor. The third system is Moses, a phrased based statistical machine translation system. In addition, several new features are introduced to enhance the overall accuracy in the maximum entropy model. The results show that the combination of our maximum entropy system with Sequitur g2p tool and Moses lead to a considerable improvement over each system result.
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