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Semantic recognition method and device, storage medium and electronic device

A semantic recognition and semantic technology, applied in the field of semantic recognition, can solve the problems of low efficiency of semantic recognition

Inactive Publication Date: 2019-06-25
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] Embodiments of the present invention provide a semantic recognition method, device storage medium, and electronic device to at least solve the technical problem of low semantic recognition efficiency in the related art

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

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Embodiment Construction

[0024] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0025] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention discloses a semantic recognition method and device, a storage medium and an electronic device. The method comprises the following steps: obtaining a target text obtained by identifying atarget voice; Searching for a target word in the words of the target text in a first database, the first database being used for storing the words with the annotation information, and the annotationinformation being used for indicating the field to which the words with the annotation information belong; Under the condition that the target word is found in the first database, determining the target word with target annotation information in the first database as a segmented word of the target text, the annotation information comprises the target annotation information, wherein the target annotation information is used for indicating the field to which the target word belongs; Determining target semantics of the segmented words according to the target annotation information; And determining semantics of the target text according to the target semantics of the segmented words. According to the invention, the technical problem of low semantic recognition efficiency in the prior art is solved.

Description

technical field [0001] The present invention relates to the field of semantic recognition, in particular to a semantic recognition method, device storage medium and electronic device. Background technique [0002] At present, in semantic recognition, the maximum matching strategy based on the data dictionary of the whole field is usually used to segment the sentences. For example, traditional dictionary-based Natural Language Processing (NLP) algorithms rely on large-scale word dictionaries, and lack of matching word data will lead to ambiguity in word segmentation. In addition, this data dictionary for all fields does not completely include dictionary data required in the in-vehicle field. [0003] The above-mentioned full-scale thesaurus will take up a lot of memory; however, the lightweight customized version does not cover all the domain words; in addition, the part-of-speech mark is relatively basic, without named entity tagging in the automotive field, and cannot be c...

Claims

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Application Information

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IPC IPC(8): G06F17/27G10L15/22
Inventor 杨柳何朝阳
Owner TENCENT TECH (SHENZHEN) CO LTD
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