Abstract
Aiming at the low precision of traditional automatic proofreading methods for English translation accuracy, this paper designs an automatic proofreading method for English translation accuracy of nano professional vocabulary. Based on nano professional vocabulary, a template matching model for automatically proofreading the accuracy of English translation is constructed by using differentiated semantic modification method. On this basis, based on the matched data, a semantic tree for automatic proofreading of English translation accuracy and a tree word meaning database for English translation are established. According to the semantic modification target in the tree word semantic database, the structure is automatically adjusted to achieve automatic proofreading of English translation accuracy and subject word registration. Machine learning algorithm is used for automatic optimization to realize automatic proofreading of English translation accuracy. The experimental results show that the automatic proofreading accuracy of the design method is more than 98.33%, which is significantly higher than that of the control group. It can solve the problem of low accuracy of traditional methods and meet the needs of practical application.
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Acknowledgements
Teaching reform project for Exploration and Practice of College English Courses in Private Colleges Based on Online and Offline Integration & Extracurricular Expansion of Hunan Provincial Department of Education in 2020 under Grant No. HNJG-2020-1247.
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Liu, Y. Automatic proofreading method for English translation accuracy of nano vocabulary. Nanotechnol. Environ. Eng. 6, 60 (2021). https://doi.org/10.1007/s41204-021-00145-w
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DOI: https://doi.org/10.1007/s41204-021-00145-w