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Semantic recognition method and device, electronic equipment and readable storage medium

A technology of semantic recognition and electronic equipment, applied in speech recognition, semantic analysis, speech analysis, etc., can solve the problems of translation text errors, difficulty in correctly identifying the user's intention to answer, etc., to achieve the effect of improving the accuracy rate

Pending Publication Date: 2022-06-24
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Due to various factors such as noise and accent, a single translated text will have certain errors. In addition, the traditional text matching model mainly solves the matching problem at the vocabulary level, but has limitations in semantics, sentence structure, and knowledge levels; therefore, the traditional In the face of more complex spoken sentences, it is often difficult to correctly identify the intention of the user's answer

Method used

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  • Semantic recognition method and device, electronic equipment and readable storage medium
  • Semantic recognition method and device, electronic equipment and readable storage medium
  • Semantic recognition method and device, electronic equipment and readable storage medium

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Embodiment Construction

[0055]In the following description, numerous specific details are set forth. It should be understood, however, that embodiments of the present invention may be practiced without these specific details. In other instances, well-known methods, structures, and techniques have not been shown in detail in order not to obscure an understanding of this description. References to "one embodiment," "an embodiment," "exemplary embodiment," "various embodiments," etc. mean that the described embodiment of the invention may include a particular feature, structure, or characteristic, but not Not every embodiment necessarily includes the particular feature, structure, or characteristic. Furthermore, repeated use of the phrase "in one embodiment" is not necessarily referring to the same embodiment, although it may be.

[0056] As used herein, unless otherwise indicated, use of the ordinal adjectives "first," "second," "third," etc. to describe a common object merely indicates that a differ...

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Abstract

The invention relates to the technical field of artificial intelligence, and provides a semantic recognition method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: processing the voice of a user through automatic voice recognition, and obtaining a preset number of translated texts; obtaining a preset number of word matching candidate results through a word matching model; obtaining a preset number of semantic matching candidate results through a semantic matching model; calculating the translated text and the word matching candidate results through a pre-trained SBERT model to obtain similarity scores between the translated text and the word matching candidate results, and selecting the word matching candidate result with the highest similarity score; and sorting the word matching candidate results and the semantic matching candidate results according to the similarity scores, and taking the candidate result which is sorted at the first in the sorting results as a final recognition result. The invention mainly aims to process the translated text through word matching and semantic matching so as to improve the accuracy of user speech recognition.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, and in particular, to a revenue forecasting method, device, electronic device and readable storage medium based on a semantic recognition method based on machine learning. Background technique [0002] Natural Language Understanding (NLU) is one of the important areas in the field of artificial intelligence. People usually use spoken language to express their opinions and ideas. Artificial intelligence can identify the semantics of spoken language through data extraction and analysis of spoken language. [0003] In traditional intelligent semantic recognition, the user's speech is output through speech recognition (ASR) to output a text translation result, and then the traditional text matching model is used to match the existing database to identify the user's intention. Due to various factors such as noise and accent, a single translated text will have certain errors. In...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/284G06F40/30G10L15/26
CPCG06F40/284G06F40/30G10L15/26
Inventor 赵仕豪马骏王少军
Owner PING AN TECH (SHENZHEN) CO LTD