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Convolution Enhanced Bilingual Recursive Neural Network for Bilingual Semantic Modeling

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Academic year: 2020

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Figure

Figure 1: An illustration of the convolution-enhanced bilingual recursive neural network.
Figure 3: Illustration of the proposed TreeCNN with window size 3, pooling size 2 and filter number 2.We use a light blue, orange and purple color to indicate the convolution, folding and pooling operation,respectively
Table 1: Experiment results on the MT 06/08 test sets, where we highlight the best result in bold
Table 2: Semantically similar target phrases in the training set for example source phrases

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