Chinese part-of-speech tagging method and device, storage medium and electronic equipment

Abstract

The invention provides a Chinese part-of-speech tagging method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining a Chinese text, determining a targetcharacter in the Chinese text, and determining a character image of the target character; determining a semantic feature vector of each target word, and determining a radical feature vector and a glyph feature vector of the target word according to the word image of the target word; and generating word vectors of the target words according to the semantic feature vectors, the radical feature vectors and the glyph feature vectors of the target words, taking the word vectors of all the target words of the Chinese text as input of a preset part-of-speech tagging model, and performing part-of-speech tagging processing on the Chinese text. According to the Chinese part-of-speech tagging method and device, the storage medium and the electronic equipment provided by the embodiment of the invention, part-of-speech tagging is carried out on the Chinese text by utilizing the unique characteristics of the Chinese characters and combining the semantic characteristics, radical characteristics andglyph characteristics of the Chinese characters, part-of-speech tagging can be carried out on the Chinese text more accurately, and the part-of-speech tagging effect is improved.

Description

technical field [0001] The present invention relates to the technical field of Chinese part-of-speech tagging, in particular to a Chinese part-of-speech tagging method, device, storage medium and electronic equipment. Background technique [0002] For a long time, part-of-speech tagging has been regarded as a classification problem, that is, for each word, a part-of-speech tag (such as noun, verb, adjective) is directly assigned to it; on the other hand, the lack of natural word separators in Chinese makes word segmentation a part-of-speech A major obstacle to labeling. Most of the traditional part-of-speech tagging methods use long-short-term memory networks and conditional random fields like English, which ignores the particularity of Chinese characters. Traditional methods for part-of-speech tagging of Chinese characters are less accurate and prone to errors. Contents of the invention [0003] In order to solve the above problems, the purpose of the embodiments of the ...

AI Technical Summary

Problems solved by technology

Most of the traditional part-of-speech tagging methods use long-short-term memory networks and conditional random fields like English, which ignores the particularity of Chinese characters. Traditional methods for part-of-speech tagging of Chinese characters are less accurate and prone to errors

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