Semantics analyzing method based on regular expression

A semantic analysis and expression technology, applied in the field of semantic analysis, can solve problems such as low execution efficiency, low recognition efficiency, and opacity, and achieve the effects of streamlining program computing resources, improving execution efficiency, and accurately identifying the range

Inactive Publication Date: 2014-06-04
王峥嵘
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AI Technical Summary

Problems solved by technology

[0002] Semantic analysis technology is widely used in real life, such as the Siri service of iPhone, Xunfei Voice Service, Baidu Voice Service, etc., which can provide users with search services and other services based on voice commands. The main methods are: first Convert voice data into text information, then use text matching to search for keywords, and output corresponding items based on keywords, that is, perform semantic analysis purely through keywords, but we know that the semantic analysis methods in these services inevitably have the following Several defects: First, because the recognition content is too broad, a large number of third-party general semantic recognition development kits are required, resulting in bloated program size and low recognition efficiency; second, the items output according to the recognition semantics are not targeted, and the execution efficiency is low; third, is a very complex and opaque process that makes it difficult to fine-tune the software

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  • Semantics analyzing method based on regular expression

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Embodiment Construction

[0011] In order to make the purpose, technical solution and advantages of the present invention clearer, further detailed description will be given below in conjunction with the accompanying drawings and embodiments.

[0012] The semantic analysis method based on regular expressions of the present invention can be based on APP software on operating systems such as ios, Android, WP, and its carrier is mainly a mobile terminal, which can be widely used in the field of semantic analysis, but it needs to be explained It is obvious that this method is especially suitable for application in vehicles, such as being applied to a vehicle navigator. Obviously, implanting the corresponding software of this method on the vehicle navigator will be able to improve semantic analysis efficiency and execution efficiency. Substantially improved. The solution of the present invention will be specifically introduced through a preferred embodiment below.

[0013] In addition, regular expressions ...

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Abstract

The invention discloses a semantics analyzing method based on a regular expression. The semantics analyzing method includes the following steps that a regular expression combination database is set up and a mapping relation is set up between all combinations and services; text information corresponding to voice input of a user is obtained, combined and matched; the services correlated with matched combinations are executed. The processing means of the method is quite transparent, a developer can easily perform further optimization as needed, and semantic analysis is accurate, flexible and high in executing efficiency.

Description

[technical field] [0001] The invention relates to the field of semantic analysis, in particular to a semantic analysis method based on regular expressions. [Background technique] [0002] Semantic analysis technology is widely used in real life, such as the Siri service of iPhone, Xunfei Voice Service, Baidu Voice Service, etc., which can provide users with search services and other services based on voice commands. The main methods are: first Convert voice data into text information, then use text matching to search for keywords, and output corresponding items based on keywords, that is, perform semantic analysis purely through keywords, but we know that the semantic analysis methods in these services inevitably have the following Several defects: First, because the recognition content is too broad, a large number of third-party general semantic recognition development kits are required, resulting in bloated program size and low recognition efficiency; second, the items out...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
Inventor 王峥嵘
Owner 王峥嵘
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