English Grammar Error Correction Algorithm Based on Classification Model
English grammar error correction algorithm refers to the use of computer programming technology to automatically recognize and correct the grammar errors contained in English text written by nonnative language learners. Classification model is the core of machine learning and data mining, which can...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6687337 |
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| author | Shanchun Zhou Wei Liu |
| author_facet | Shanchun Zhou Wei Liu |
| author_sort | Shanchun Zhou |
| collection | DOAJ |
| description | English grammar error correction algorithm refers to the use of computer programming technology to automatically recognize and correct the grammar errors contained in English text written by nonnative language learners. Classification model is the core of machine learning and data mining, which can be applied to extracting information from English text data and constructing a reliable grammar correction method. On the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of English grammar error correction algorithm, elaborated the development background, current status, and future challenges of the classification model, introduced the methods and principles of feature extraction method and dynamic residual structure, constructed a basic model for English grammar error correction based on the classification model, analyzed the classification model and translation model of English grammar error correction, proposed the English grammar error correction algorithm based on the classification model, performed the analyses of the model architecture and model optimizer of the grammar error correction algorithm, and finally conducted a simulation experiment and its result analysis. The study results show that, with the continuous increase of training samples and the continuous progress of learning process, the proposed English grammar error correction algorithm based on the classification model will continue to increase its classification accuracy, further refine its recognition rules, and gradually improve correction efficiency, thereby reducing processing time, saving storage space, and streamlining processing flow. The study results of this paper provide a certain reference for the further research on English grammar error correction algorithm based on the classification model. |
| format | Article |
| id | doaj-art-93f26277b884456192f24271e4b97f49 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-93f26277b884456192f24271e4b97f492025-02-03T01:04:14ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66873376687337English Grammar Error Correction Algorithm Based on Classification ModelShanchun Zhou0Wei Liu1School of Foreign Languages, Xinyang College, Xinyang, Henan 464000, ChinaIntercultural Language Research Center, Xinyang Normal University, Xinyang, Henan 464000, ChinaEnglish grammar error correction algorithm refers to the use of computer programming technology to automatically recognize and correct the grammar errors contained in English text written by nonnative language learners. Classification model is the core of machine learning and data mining, which can be applied to extracting information from English text data and constructing a reliable grammar correction method. On the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of English grammar error correction algorithm, elaborated the development background, current status, and future challenges of the classification model, introduced the methods and principles of feature extraction method and dynamic residual structure, constructed a basic model for English grammar error correction based on the classification model, analyzed the classification model and translation model of English grammar error correction, proposed the English grammar error correction algorithm based on the classification model, performed the analyses of the model architecture and model optimizer of the grammar error correction algorithm, and finally conducted a simulation experiment and its result analysis. The study results show that, with the continuous increase of training samples and the continuous progress of learning process, the proposed English grammar error correction algorithm based on the classification model will continue to increase its classification accuracy, further refine its recognition rules, and gradually improve correction efficiency, thereby reducing processing time, saving storage space, and streamlining processing flow. The study results of this paper provide a certain reference for the further research on English grammar error correction algorithm based on the classification model.http://dx.doi.org/10.1155/2021/6687337 |
| spellingShingle | Shanchun Zhou Wei Liu English Grammar Error Correction Algorithm Based on Classification Model Complexity |
| title | English Grammar Error Correction Algorithm Based on Classification Model |
| title_full | English Grammar Error Correction Algorithm Based on Classification Model |
| title_fullStr | English Grammar Error Correction Algorithm Based on Classification Model |
| title_full_unstemmed | English Grammar Error Correction Algorithm Based on Classification Model |
| title_short | English Grammar Error Correction Algorithm Based on Classification Model |
| title_sort | english grammar error correction algorithm based on classification model |
| url | http://dx.doi.org/10.1155/2021/6687337 |
| work_keys_str_mv | AT shanchunzhou englishgrammarerrorcorrectionalgorithmbasedonclassificationmodel AT weiliu englishgrammarerrorcorrectionalgorithmbasedonclassificationmodel |