Medical ancient Chinese sentence segmentation method based on Bayesian statistics learning

Abstract

The invention belongs to the field of language processing and discloses a medical ancient Chinese sentence segmentation method based on Bayesian statistics learning. According to the medical ancient Chinese sentence segmentation method based on Bayesian statistics learning, two tuples and trituples are also added for characteristic attributes or one-tuple, two-tuple and trituple diversified characteristic attributes are combined to obtain multiple groups of experiment data results based on a naive Bayesian method for sentence identification, and finally a best model is obtained; thus, an ancient Chinese sentence segmentation task is achieved. The medical ancient Chinese sentence segmentation method is combined with actual processing text contents, values F of various characteristics in the prior art can be improved by at least 25% by adopting the experiment method, medical ancient Chinese text sentence identification rules are systematically analyzed and concluded, the processing method can be applied to the field of actual traditional Chinese medicine, a medical ancient Chinese text sentence identification corpus is established, and accordingly achievements in scientific research can play a greater role.

Description

technical field [0001] The invention belongs to the field of language processing, in particular to a method for segmenting medical ancient Chinese sentences based on Bayesian statistical learning. Background technique [0002] Natural language processing technology has a strong language correlation. In foreign countries, relatively mature language processing technology has been applied to the text processing of medical information and patient case history, so as to help doctors extract key information from huge medical-related information data. , and transform it into an effective knowledge system, and then further apply it to related work. In China, major medical institutions in various provinces and cities across the country are also intensively working on the modern intelligent processing of big data in the medical field. in progress. [0003] A large number of medical Chinese ancient books are collected in libraries all over the country and major scientific research ins...

AI Technical Summary

Problems solved by technology

But nowadays, applying the more mature modern Chinese processing technology to the immature Chinese medical text processing technology in China, whether these methods are as good as in the modern text when facing the processing performance of the medical ancient Chinese text, does not matter. To be further verified

However, due to the inconsistency of the processing regulations and the lack of corpus for the required processing tasks, the technology that has been applied has resulted in low efficiency in the processing of classics. to violate

[0005] To sum up, the problem existing in the prior art is that the existing relatively mature modern Chinese processing technology is applied to the immature Chinese medical text processing technology in China. When these methods face the processing performance of medical ancient Chinese text, Whether it is as good as it is in modern texts remains to be further verified

Currently applied technology, due to the inconsistency of the regulations in the processing method and the lack of a large amount of corpus required for the processing task, the processing cost is high and the processing effect is low.

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