The biomechanics-inspired application of AI technology in English essay correction
Abstract
This paper explores the application of AI technology in the field of English essay grading, inspired by biomechanics. Biomechanics, which studies the mechanical aspects of biological systems, offers unique insights that can be analogously applied to the grading of English compositions. Just as biomechanics analyzes the complex structures and functions of biological entities by understanding the relationships between different components, we focus on natural language processing (NLP) and machine learning algorithms, with the primary objective is to analyze how these advanced technologies, inspired by biomechanical concepts, can enhance the accuracy, efficiency, and objectivity of grading English compositions. By employing various NLP techniques such as lexical analysis, syntactic parsing, and semantic understanding, combined with machine learning models for classification and regression, the study demonstrates significant improvements in grading performance. The findings indicate that AI-powered systems, inspired by biomechanics, can provide consistent and reliable evaluations, thus offering valuable support to educators and students alike.
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