Building a neural network-based English-to-Arabic transfer module from an unrestricted domain
作者： Rasha Al Dam , Ahmed Guessoum
DOI: 10.1109/ICMWI.2010.5648157
关键词:
摘要: This paper presents a Transfer Module for an English-to-Arabic Machine Translation System (MTS) using Bilingual Corpus. We propose approach to build transfer module by building new transfer-based system machine translation Artificial Neural Networks (ANN). The idea is allow the ANN-based automatically learn correspondences between source and target language structures large set of English sentences their Arabic translations. methodology corpus building. It then introduces that has been followed develop module. finally experimental results which are very encouraging.
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