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Text recognition method based on natural language semantic analysis

A natural language and semantic analysis technology, applied in the field of text recognition based on natural language semantic analysis, which can solve problems such as low recognition rate, damage, and unclear characters.

Pending Publication Date: 2021-10-29
北京东方通网信科技有限公司
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AI Technical Summary

Problems solved by technology

[0002] At present, with the development of natural language processing technology, the language recognition and semantic analysis technology based on general information is gradually improving, but in some specific fields, the recognition accuracy rate and understanding accuracy rate are very low, and the correspondence between natural language semantics and standard language semantics The relationship problem still needs to be further solved; at the same time, the recognition rate is low due to the unclear or damaged text characters contained in the natural language or video in the natural environment; how to extract the language information in the text and recognize the standard language semantics and Non-standard language semantics is a technology that has yet to be perfected; how to analyze and judge non-standard language semantic information is not yet fully mature; therefore, it is necessary to propose a text recognition method based on natural language semantic analysis to at least partially solve the problem of Problems in prior art

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  • Text recognition method based on natural language semantic analysis
  • Text recognition method based on natural language semantic analysis
  • Text recognition method based on natural language semantic analysis

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Embodiment Construction

[0040] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0041] refer to figure 1 , the embodiment of the present invention provides a text recognition method based on natural language semantic analysis, including:

[0042] Establish a correspondence mapping set between natural language semantics and standard language semantics;

[0043] Obtain text information, extract the language information in the text, and identify the standard language semantics and non-standard language semantics in the language information through the correspondence mapping set;

[0044] Input the non-standard language semantic information into the non-standard language semantic analysis system for analysis and judgment, and complete text recogni...

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Abstract

The invention provides a text recognition method based on natural language semantic analysis. The text recognition method comprises the steps: establishing a corresponding relation mapping set of natural language semantics and standard language semantics; obtaining text information, extracting language information in a text, and recognizing standard language semantics and non-standard language semantics in the language information through the corresponding relation mapping set; inputting the non-standard language semantic information into a non-standard language semantic analysis system for analysis and judgment, and completing text recognition. According to the method, the analysis of language semantics in the natural environment and the simultaneous text recognition are fused, so that when the natural language semantics analysis is carried out on the obtained text, the rapid, accurate and multi-type simultaneous recognition of the text in the natural language semantics environment is facilitated.

Description

technical field [0001] The present invention relates to the field of text recognition, in particular to a text recognition method based on natural language semantic analysis Background technique [0002] At present, with the development of natural language processing technology, the language recognition and semantic analysis technology based on general information is gradually improving, but in some specific fields, the recognition accuracy rate and understanding accuracy rate are very low, and the correspondence between natural language semantics and standard language semantics The relationship problem still needs to be further solved; at the same time, the recognition rate is low due to the unclear or damaged text characters contained in the natural language or video in the natural environment; how to extract the language information in the text and recognize the standard language semantics and Non-standard language semantics is a technology that has yet to be perfected; h...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/30G06F40/279G06F40/151G06F40/216
CPCG06F40/30G06F40/279G06F40/151G06F40/216
Inventor 刘如君刘志杰陈乔尚雪松
Owner 北京东方通网信科技有限公司