Traditional Chinese medicine clinical information part-of-speech tagging method based on Markov chain prompt

Abstract

The invention provides a traditional Chinese medicine clinical information part-of-speech tagging method based on Markov chain prompt, and particularly relates to the technical field of information part-of-speech tagging. S2, tagging part-of-speech of a single word; s3, calculating the highest joint probability of the sequence; s4, replacing placeholders; and S5, obtaining an integral part-of-speech tagging result of the input sequence. According to the method, the problem of context semantic loss caused by part-of-speech loss of adjacent words during part-of-speech prediction of the words is solved.

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