English Writing Correction Based on Intelligent Text Semantic Analysis

In order to improve the teaching effect of English writing, this paper combines the intelligent text semantic analysis algorithm to construct an English writing correction model. Moreover, this paper deduces the relationship formula between the range of English semantic information cloud drop and th...

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Main Author: Shuang Yang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2022/5211045
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author Shuang Yang
author_facet Shuang Yang
author_sort Shuang Yang
collection DOAJ
description In order to improve the teaching effect of English writing, this paper combines the intelligent text semantic analysis algorithm to construct an English writing correction model. Moreover, this paper deduces the relationship formula between the range of English semantic information cloud drop and the evaluation word through the contribution of cloud drop group to qualitative concepts, the association between cloud drop central area and evaluation words, and the relationship between cloud drop ring area and evaluation word. In addition, this paper uses the word selection probability results obtained from the preference evaluation. The simulation results show that the English writing correction model based on intelligent text semantic analysis proposed in this paper can play an important role in the intelligent teaching of English writing.
format Article
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institution Kabale University
issn 1687-5699
language English
publishDate 2022-01-01
publisher Wiley
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series Advances in Multimedia
spelling doaj-art-608890982edd4b08b02fe97468c0e1ae2025-02-03T06:11:55ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/5211045English Writing Correction Based on Intelligent Text Semantic AnalysisShuang Yang0Foreign Languages SchoolIn order to improve the teaching effect of English writing, this paper combines the intelligent text semantic analysis algorithm to construct an English writing correction model. Moreover, this paper deduces the relationship formula between the range of English semantic information cloud drop and the evaluation word through the contribution of cloud drop group to qualitative concepts, the association between cloud drop central area and evaluation words, and the relationship between cloud drop ring area and evaluation word. In addition, this paper uses the word selection probability results obtained from the preference evaluation. The simulation results show that the English writing correction model based on intelligent text semantic analysis proposed in this paper can play an important role in the intelligent teaching of English writing.http://dx.doi.org/10.1155/2022/5211045
spellingShingle Shuang Yang
English Writing Correction Based on Intelligent Text Semantic Analysis
Advances in Multimedia
title English Writing Correction Based on Intelligent Text Semantic Analysis
title_full English Writing Correction Based on Intelligent Text Semantic Analysis
title_fullStr English Writing Correction Based on Intelligent Text Semantic Analysis
title_full_unstemmed English Writing Correction Based on Intelligent Text Semantic Analysis
title_short English Writing Correction Based on Intelligent Text Semantic Analysis
title_sort english writing correction based on intelligent text semantic analysis
url http://dx.doi.org/10.1155/2022/5211045
work_keys_str_mv AT shuangyang englishwritingcorrectionbasedonintelligenttextsemanticanalysis