English statement recognition method and electronic equipment

An electronic device and English technology, applied in semantic analysis, digital data processing, natural language data processing, etc., can solve the problem of inability to accurately determine the part of speech of prepositions, inability to accurately identify the meaning of English sentences, and affect the accuracy of English composition correction by electronic devices. Sex and other issues to achieve the effect of improving accuracy

Active Publication Date: 2019-04-12
GUANGDONG XIAOTIANCAI TECH CO LTD
View PDF11 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in practice, it is found that when the prepositions in English sentences can modify both nouns and verbs, the electronic device may not be able to accurately judge the part of speech modified by the preposition, resulting in the electronic device being unable to accurately identify the meaning of the English sentence, thereby affecting The Accuracy of Correcting English Compositions with Electronic Devices

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • English statement recognition method and electronic equipment
  • English statement recognition method and electronic equipment
  • English statement recognition method and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] see figure 1 , figure 1 It is a schematic flowchart of an English sentence recognition method disclosed in an embodiment of the present invention. like figure 1 As shown, the recognition method of the English sentence may include the following steps:

[0068] 101. The electronic device acquires a target English sentence in the English composition to be corrected, and the target English sentence includes a target preposition, a target noun, and a target verb.

[0069] In the embodiment of the present invention, the English composition to be corrected can be the English composition input by the user on the electronic device, or it can be the English composition written by the user on paper, and the picture containing the English composition can be obtained through the camera of the electronic device, from The English composition recognized in the picture is not limited in this embodiment of the present invention.

[0070] In the embodiment of the present invention, th...

Embodiment 2

[0091] see figure 2 , figure 2 It is a schematic flowchart of another English sentence recognition method disclosed in the embodiment of the present invention. like figure 2 As shown, the recognition method of the English sentence may include the following steps:

[0092] 201. Obtaining electronic equipment for English compositions to be corrected.

[0093] In the embodiment of the present invention, the electronic device can correct the entire English composition to be corrected. Since there may be more than one English sentence containing prepositions, nouns and verbs in an English composition, if you are not sure about each English sentence The part of speech modified by the preposition may cause the electronic device to misidentify the meaning of the entire English composition to be corrected. Therefore, the electronic device needs to analyze the prepositions in English sentences that contain prepositions, nouns and verbs in the corrected English composition, so that...

Embodiment 3

[0107] see image 3 , image 3 It is a schematic flowchart of another English sentence recognition method disclosed in the embodiment of the present invention. like image 3 As shown, the recognition method of the English sentence may include the following steps:

[0108] 301. The electronic device acquires a target English sentence in the English composition to be corrected, and the target English sentence includes a target preposition, a target noun, and a target verb.

[0109] 302. The electronic device calculates the first co-occurrence degree of the target preposition and the target noun, and calculates the second co-occurrence degree of the target preposition and the target verb.

[0110] 303. The electronic device calculates a log likelihood ratio according to the first co-occurrence degree and the second co-occurrence degree.

[0111] 304. The electronic device judges whether the logarithmic natural ratio is greater than a preset threshold, and if yes, executes ste...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the technical field of electronic equipment, and discloses an English statement recognition method and electronic equipment, and the method comprises the steps: obtaining a target English statement in a to-be-corrected English composition, the target English statement comprising a target memo, a target noun, and a target verb; calculating a first co-occurrence degree of the target meson and the target noun, and calculating a second co-occurrence degree of the target meson and the target verb; calculating to obtain a log-likelihood ratio according to the first co-occurrence degree and the second co-occurrence degree; and determining a target part-of-speech modified by the target meson according to the log-likelihood ratio, wherein the target part-of-speech is a nounor a verb. Implementation of embodiment of the invention, According to the co-occurrence degree of mesons and nouns in English sentences and the co-occurrence degree of the mesons and verbs, the log-likelihood ratio can be calculated; and determining the word property modified by the meson according to the log-likelihood ratio, so that the electronic equipment identifies the English statement according to the calculated result, and the meaning accuracy of the English statement is improved.

Description

technical field [0001] The invention relates to the technical field of electronic equipment, in particular to an English sentence recognition method and electronic equipment. Background technique [0002] At present, electronic devices such as tutoring machines and learning machines on the market can automatically correct English compositions written by students. When there are no grammatical errors or spelling mistakes in English sentences, identify the meaning of each English sentence, and determine the writing level of the English composition according to the meaning of each English sentence. However, in practice, it is found that when the prepositions in English sentences can modify both nouns and verbs, the electronic device may not be able to accurately judge the part of speech modified by the preposition, resulting in the electronic device being unable to accurately identify the meaning of the English sentence, thereby affecting Electronic equipment corrects the accu...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27
CPCG06F40/284G06F40/30Y02D10/00
Inventor 崔颖
Owner GUANGDONG XIAOTIANCAI TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products