Pinyin-based method and apparatus for semantic recognition, and system for human-machine dialog

Abstract

The present disclosure provides a method and an apparatus for semantic recognition, and a system for human-machine dialog. In the method, a Pinyin sequence of a sentence to be recognized is obtained. The Pinyin sequence includes a plurality of Pinyin segments. Then, word vectors of the plurality of Pinyin segments are obtained. Next, the word vectors of the plurality of Pinyin segments are combined into a sentence vector of the sentence to be recognized. Based on the sentence vector of the sentence to be recognized, an output vector of the sentence to be recognized is obtained by using a neural network. Based on the output vector of the sentence to be recognized, a reference sentence semantically similar to the sentence to be recognized is determined. Then, a semantic meaning of the sentence to be recognized is recognized as a semantic meaning of the reference sentence.

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