Dependency-to-Dependency Neural Machine Translation.
IEEE/ACM Transactions on Audio, Speech, and Language Processing(2018)
摘要
Recent research has proven that syntactic knowledge is effective to improve the performance of neural machine translation (NMT). Most previous work focuses on leveraging either source or target syntax in the recurrent neural network (RNN) based encoder-decoder model. In this paper, we simultaneously use both source and target dependency tree to improve the NMT model. First, we propose a simple but...
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关键词
Decoding,Syntactics,Computational modeling,Recurrent neural networks,Magnetic heads,Predictive models,Task analysis
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