Design of Chinese Corpus Based on Semantic Mining Algorithm

In order to improve the practical effect of the Chinese corpus, this paper combines the semantic mining algorithm to design the Chinese corpus, proposes an ontology adaptive algorithm based on content learning, and conducts in-depth research on the model of the algorithm. Firstly, in view of the het...

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Main Author: Di Wu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2022/2404748
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author Di Wu
author_facet Di Wu
author_sort Di Wu
collection DOAJ
description In order to improve the practical effect of the Chinese corpus, this paper combines the semantic mining algorithm to design the Chinese corpus, proposes an ontology adaptive algorithm based on content learning, and conducts in-depth research on the model of the algorithm. Firstly, in view of the heterogeneity of web information structure and the chaotic nature of information organization, this paper proposes a web content extraction method to effectively remove noise information. Moreover, this paper analyzes an ontology-based text content parsing method, which uses the semantic parsing capability of the ontology to improve the semantic parsing capability of the text. Secondly, this paper proposes the BFA algorithm to optimize the BP neural network. The experimental research shows that the Chinese corpus system based on semantic mining proposed in this paper has a good practical effect and meets the actual needs of Chinese teaching and translation.
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spelling doaj-art-68107cccece0447aae791b37e19e7ece2025-08-20T02:23:51ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/2404748Design of Chinese Corpus Based on Semantic Mining AlgorithmDi Wu0Henan PolytechnicIn order to improve the practical effect of the Chinese corpus, this paper combines the semantic mining algorithm to design the Chinese corpus, proposes an ontology adaptive algorithm based on content learning, and conducts in-depth research on the model of the algorithm. Firstly, in view of the heterogeneity of web information structure and the chaotic nature of information organization, this paper proposes a web content extraction method to effectively remove noise information. Moreover, this paper analyzes an ontology-based text content parsing method, which uses the semantic parsing capability of the ontology to improve the semantic parsing capability of the text. Secondly, this paper proposes the BFA algorithm to optimize the BP neural network. The experimental research shows that the Chinese corpus system based on semantic mining proposed in this paper has a good practical effect and meets the actual needs of Chinese teaching and translation.http://dx.doi.org/10.1155/2022/2404748
spellingShingle Di Wu
Design of Chinese Corpus Based on Semantic Mining Algorithm
Advances in Multimedia
title Design of Chinese Corpus Based on Semantic Mining Algorithm
title_full Design of Chinese Corpus Based on Semantic Mining Algorithm
title_fullStr Design of Chinese Corpus Based on Semantic Mining Algorithm
title_full_unstemmed Design of Chinese Corpus Based on Semantic Mining Algorithm
title_short Design of Chinese Corpus Based on Semantic Mining Algorithm
title_sort design of chinese corpus based on semantic mining algorithm
url http://dx.doi.org/10.1155/2022/2404748
work_keys_str_mv AT diwu designofchinesecorpusbasedonsemanticminingalgorithm