Leveraging Distributed Detection and Semantic Characteristics for Advanced English Passage Evaluation: An AI-Powered Approach

Abstract

Abstract Background With the continuous development of artificial intelligence technology, the educational circles are gradually applying intelligent identification technology to the evaluation of English discourse. On the basis of semantic analysis of English passages, this paper adopts distributed detection technology based on semantic characteristics to construct an auxiliary evaluation system of English passages, so as to effectively improve the evaluation level of English texts. Methods Based on the information processing mode of English segment evaluation by manual identification, and combined with the intelligent evaluation expert system of English segments, the output semantic information analysis mode of English segment auxiliary evaluation is constructed, and English evaluation is carried out through the auxiliary evaluation of English segments, thus helping the accuracy of English evaluation. Results In order to improve the reading level of English discourse, a set of English discourse evaluation system is developed by using artificial intelligence technology. Conclusions This study's novelty becomes apparent through its convergence of contemporary pedagogical techniques and artificial intelligence to establish an immersive learning atmosphere, addressing a critical domain in present-day education. The findings reveal that learners utilizing the AI-powered instructional support system will demonstrate notably elevated levels of English language proficiency in contrast to those engaged in conventional English courses.