Chinese novel dialogue character recognition method
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A character recognition and novel technology, applied in the field of network communication, can solve the problems of unable to fully express the semantic information before and after candidates, rigid results, unable to fully express the semantics of candidates, etc., to achieve high portability, high accuracy, good expression Effect
Active Publication Date: 2020-12-25
EB INFORMATION TECH
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In this technical solution, the production of feature vectors is manually selected, which cannot fully express the semantic information before and after the position of the candidate. The quality of the result depends heavily on the quality of the manually selected feature vectors. The dilemma of being unable to fully represent the semantic and other feature information of candidates
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[0017] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0018] The purpose of the present invention is to attribute a central dialogue to a certain character in the novel, so that the automatic speech synthesis can be conveniently performed. Such as figure 1 Shown, a kind of Chinese novel dialogue character identification method of the present invention comprises:
[0019] Step 1. Extract several sentences before and after the central dialogue from the Chinese novel, and form the central dialogue-associated text from the central dialogue and all the extracted sentences, and then extract all character names from the central dialogue-associated text as candidates, A candidate set is composed of all candidates;
[0020] Step 2. Select a sentence before and after the central dialogue from the Chinese novel, and obtain th...
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Abstract
The invention discloses a Chinese novel dialogue character recognition method, which comprises the following steps of: 1, extracting a plurality of sentences before and after a dialogue to form an associated text, and extracting all character names as candidates; 2, selecting sentences before and after the conversation, judging whether a person name exists in the subject or not, if so, determiningthat the conversation person is the person name in the subject, and if not, continuing the next step; 3, judging whether someone names pronouns in the subject, if so, continuing the step 4, and if not, continuing the step 5; 4, matching the personal pronouns in the subject with the sexes of the candidates, judging whether the number of the candidates with the consistent sexes is 1 or not, if so,determining that the dialogue character is the candidate with the consistent sexes, and if not, continuing the step 5; and 5, calculating a candidate vector of each candidate, inputting the candidatevectors into the MLP network to obtain scores of the candidates, and determining that the dialogue person is the candidate with the highest score. The invention belongs to the technical field of information, and can realize automatic and accurate identification of dialogue characters in a Chinese novel.
Description
technical field [0001] The invention relates to a method for identifying dialogue characters in Chinese novels, which belongs to the technical field of network communication. Background technique [0002] With the development of the mobile Internet, reading Chinese novels has increasingly become an important form of entertainment in people's daily lives. However, people are not only satisfied with the enjoyment brought by reading Chinese novels, but also hope to bring auditory experience to Chinese audio novels. The three elements of speech are information, timbre, and rhythm. In the process of automatic synthesis of audio novels, the information is the text information of the dialogue in the novel. The timbre refers to the characteristics of the speaker itself, and the rhythm refers to the pitch, speed, etc. of the voice. Using NLP correlation The technology recognizes the speaker of the dialogue in the novel, and then can synthesize the relevant timbre according to the sp...
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