Context-Dependent Translation Selection Using Convolutional Neural Network

IJCNLP 2015 Zhaopeng TuBaotian HuZhengdong LuHang Li

We propose a novel method for translation selection in statistical machine translation, in which a convolutional neural network is employed to judge the similarity between a phrase pair in two languages. The specifically designed convolutional architecture encodes not only the semantic similarity of the translation pair, but also the context containing the phrase in the source language... (read more)

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