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A Chinese text proofreading method based on a knowledge graph

A knowledge map and text technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as incomplete sentence components, contradictory sentence definitions, unrecognizable syntax and semantic errors of sentences, etc.

Active Publication Date: 2019-06-21
ZHEJIANG GONGSHANG UNIVERSITY
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Problems solved by technology

If the thesaurus is not updated in time, the proofreading effect will be affected, and due to excessive reliance on the thesaurus, often only the word errors in the text can be proofread, and the syntax and semantic errors in the sentence cannot be identified, such as incomplete components of the sentence, gaps between sentences, etc. definition contradiction

Method used

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  • A Chinese text proofreading method based on a knowledge graph
  • A Chinese text proofreading method based on a knowledge graph
  • A Chinese text proofreading method based on a knowledge graph

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Embodiment

[0052] In order to facilitate the understanding and implementation of the present invention by those skilled in the art, a specific implementation example of the method described in the present invention is now given. The core idea of ​​providing Chinese text proofreading is to use the knowledge graph to compare the text to be proofread with the reference text to search for syntax and semantic errors in the text to be proofread, thereby providing a specific implementation plan for Chinese text proofreading.

[0053] Focusing on text proofreading for building university data structure textbooks, a case is used below to describe this embodiment.

[0054] The data of the case comes from Wikipedia and the teaching materials of a data structure course in a university. The Wikipedia corpus is taken from the website: https: / / dumps.wikimedia.org / zhwiki / latest / zhwiki-latest-pages-articles.xml.bz2 .

[0055] Since all files in the Wikipedia corpus are web pages, it is first necessary t...

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Abstract

The invention discloses a Chinese text proofreading method based on a knowledge graph. Firstly, an entity extraction technology is used for extracting to obtain an entity in a text statement, and thenaccording to a matching result of the entity and a relation rule, a syntactic semantic error type is searched and discovered in a knowledge graph. According to the method, dependence on a large-scaleword library can be avoided, and semantic proofreading is conducted on texts from the three aspects of wrongly written characters, component deletion and definition contradiction. Compared with an existing Chinese automatic proofreading system, the proofreading method has high recall ratio for proofreading various semantic errors in the limited field. The method can effectively improve the accuracy and recall ratio of text proofreading, and is helpful for text workers to improve the text quality.

Description

technical field [0001] The invention relates to the field of text proofreading, and relates to a Chinese text proofreading method based on a knowledge graph. Background technique [0002] The wide application of computers has given birth to automatic proofreading tools for Chinese text, which replace the time-consuming and laborious traditional manual proofreading. The most common one is the Chinese automatic proofreading tool Office Proofing Tools that comes with Office. Other widely used proofreading tools include proofreading assistants, small Red pen, dark horse proofreading system, etc. However, the existing proofreading tools can only proofread words based on a large-scale lexicon, and it is difficult to perform syntactic and semantic proofreading. Moreover, these proofreading tools are paid software, and users need to pay a relatively expensive fee to use them. [0003] The existing text automatic proofreading technologies mainly include local language features based...

Claims

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Application Information

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IPC IPC(8): G06F17/27
CPCY02D10/00
Inventor 董黎刚邵红蒋献汤柳君吴梦莹索同鹏
Owner ZHEJIANG GONGSHANG UNIVERSITY
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