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A Sentence Segmentation Method for Medical Ancient Chinese Based on Bayesian Statistical Learning

A technique of statistical learning and ancient Chinese, applied in the field of medical ancient Chinese sentence segmentation based on Bayesian statistical learning, can solve the problems of lack, non-uniform corpus, and low effect of classics processing, etc., and achieve the effect of smooth progress

Active Publication Date: 2020-05-19
CHENGDU UNIV OF INFORMATION TECH
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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.

Method used

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  • A Sentence Segmentation Method for Medical Ancient Chinese Based on Bayesian Statistical Learning
  • A Sentence Segmentation Method for Medical Ancient Chinese Based on Bayesian Statistical Learning
  • A Sentence Segmentation Method for Medical Ancient Chinese Based on Bayesian Statistical Learning

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Embodiment Construction

[0051] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0052] At present, more mature modern Chinese processing techniques are applied to domestic immature Chinese medical text processing technologies. Whether these methods are as good as in modern medical text processing performance for medical ancient Chinese texts remains to be further studied. verify.

[0053] The application principle of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0054] In the medical ancient Chinese sentence segmentation method based on Bayesian statistical learning provided by the embodiment of the present invention, in...

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Abstract

The invention belongs to the field of language processing, and discloses a method for segmenting medical ancient Chinese sentences based on Bayesian statistical learning. On the basis of the Yeesian method, adding two-tuples and three-tuples to the feature attributes or combining various feature attributes of one-tuples, two-tuples, and three-tuples to obtain multiple sets of experimental data results, and finally get the best model; Then realize the medical ancient Chinese sentence segmentation task. The present invention is combined with the actual processing text content, and the F value of each feature of the prior art can be increased by at least 25 percentage points through this experimental method. In the present invention, the medical ancient Chinese text sentence recognition rules are systematically analyzed and summarized, and the realization of A processing method that can be applied to the actual field of traditional Chinese medicine and establishes a sentence recognition corpus of medical ancient Chinese texts, further allowing scientific research results to 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...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/211G06F40/284G06F40/289G06F16/35
CPCG06F16/35G06F40/211G06F40/284G06F40/289
Inventor 王亚强刘胤唐聃舒红平
Owner CHENGDU UNIV OF INFORMATION TECH
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