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
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[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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