Numerical Analysis and Optimization of English Reading Corpus for Feature Extraction

Abstract

In order to solve the problem of comparative analysis ability of English reading corpus, meet the needs of the construction of language feature analysis system of English reading corpus, make up for the shortcomings of English reading corpus, and improve the wide application of English, the construction method of English reading corpus is proposed. For a long time, English has been an important communication tool in terms of national politics and final economic communication. Especially with the in-depth development of economic globalization, English plays a vital role in international communication. Therefore, the study of the semantics and features of English texts can provide important information materials for English learning and communication in nonnative English speaking countries. Taking this as the starting point, this paper focuses on the numerical analysis and optimization of English reading corpus based on feature extraction and puts forward a language feature analysis system of English reading corpus. At the same time, feature extraction and text classification are used to improve the comparative analysis ability of English reading corpus. The research shows that the feature extraction oriented English reading corpus can solve the problem of English reading learning and improve the ability of reading and analyzing English articles.