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作 者:高雯君 GAO Wen-jun(Shenmu Vocational and Technical College,Shenmu 719300 China)
出 处:《自动化技术与应用》2024年第9期42-46,共5页Techniques of Automation and Applications
基 金:2022年榆林市“十四五”教育科学规划课题(YGH22020)。
摘 要:为实现针对英语语法的准确纠错,提出一套能够兼顾上下文信息的英语语法错误纠正模型。介绍模型中编码模块和解码模块的数据处理方法,并通过应用实验来对所提出的纠错模型进行测试。实验发现,该模型在精确率、召回率、F值等指标方面均体现出较为理想的准确率水平,能够对主谓一致性错误、冠词或限定词错误等常见的英语语法错误进行较为准确的识别与修正。In order to achieve accurate error correction for English grammar,this study proposes a set of English grammar error correction model that can take into account context information,introduces the data processing methods of coding module and decoding module in the model in detail,and tests the error correction model proposed in this study through application experiments.Through experimental research,it is found that the model shows an ideal accuracy level in terms of accuracy,recall,F value and other indicators,and can accurately identify and correct common English grammatical errors such as subject predicate consistency error,article or determiner error and so on.
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