<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper presents a semantic analysis of corpus-assisted collocation teaching based on the random matrix theory, taking into account the characteristics of the computer corpus. The construction of a word-document matrix is based on the potential semantic analysis of the corpus and the intrinsic relationships between words and documents. The aggregation and combination relations of collocation, i.e., the lexicon of word meanings, are used to calculate affirmative sentence similarity, incorporating dependent syntactic and semantic analysis. The error analysis method was applied to the teaching of collocations to analyze the common types of errors and the variability of writing errors in English writing and to discuss the correlation between the performance of English composition and the number of collocations used. The correlation coefficient between composition scores and the number of collocations in compositions was 0.924, and the composition scores of college students had a positive linear relationship with the number of collocations.</p>
</abstract>

This paper presents a semantic analysis of corpus-assisted collocation teaching based on the random matrix theory, taking into account the characteristics of the computer corpus. The construction of a word-document matrix is based on the potential semantic analysis of the corpus and the intrinsic relationships between words and documents. The aggregation and combination relations of collocation, i.e., the lexicon of word meanings, are used to calculate affirmative sentence similarity, incorporating dependent syntactic and semantic analysis. The error analysis method was applied to the teaching of collocations to analyze the common types of errors and the variability of writing errors in English writing and to discuss the correlation between the performance of English composition and the number of collocations used. The correlation coefficient between composition scores and the number of collocations in compositions was 0.924, and the composition scores of college students had a positive linear relationship with the number of collocations.

A Study of the Effectiveness of Corpus-Assisted Collocation Teaching on Improving College Students’ English Writing Ability Based on Random Matrix Theory

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper presents a semantic analysis of corpus-assisted collocation teaching based on the random matrix theory, taking into account the characteristics of...

A Study of the Effectiveness of Corpus-Assisted Collocation Teaching on Improving College Students’ English Writing Ability Based on Random Matrix Theory

Online veröffentlicht: 30. Okt. 2023

Seitenbereich: -

Eingereicht: 22. Jan. 2023

Akzeptiert: 10. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00866

Schlüsselwörter
Computer corpus, collocation teaching, Semantic analysis, Similarity calculation, English writing

© 2023 Xuqin Lin, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

A Study of the Effectiveness of Corpus-Assisted Collocation Teaching on Improving College Students’ English Writing Ability Based on Random Matrix Theory

Online veröffentlicht: 30. Okt. 2023

Seitenbereich: -

Eingereicht: 22. Jan. 2023

Akzeptiert: 10. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00866

SchlüsselwörterComputer corpus, collocation teaching, Semantic analysis, Similarity calculation, English writing

© 2023 Xuqin Lin, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Computer corpus, collocation teaching, Semantic analysis, Similarity calculation, English writing