Abstract
Construct a scoring model based on shallow language features and deep language features, and combine multiple algorithms to optimize the effect of automatic scoring model for Chinese academic papers. Conduct research through literature review and interview research methods, analyze the impact and changes of optimizing academic paper systems combined with teacher feedback on students' writing learning. Create a model to identify elements in student writing, automatically segment, classify, and score the text in academic papers written by Chinese students. Optimizing academic paper systems can effectively improve students' ability to write academic papers, enhance students' writing motivation and interest, motivate students to revise their writing repeatedly, and enhance students' mastery of vocabulary, grammar, and technical details, as well as their writing motivation.
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