文件名称:
An Unknown Word Processing Method in NMT by Integrating Syntactic Structure and Semantic Concept
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文件大小: 671kb
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上传时间: 2021-02-22
详细说明:The unknown words in neural machine translation (NMT) may undermine the integrity of sentence structure, increase ambiguity and have adverse effect on the translation. In order to solve this problem, we propose a method of processing unknown words in NMT based on integrating syntactic structure and semantic concept. Firstly, the semantic concept network is used to construct the set of in-vocabulary synonyms corresponding to the unknown words. Secondly, a semantic similarity calculation method b
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