首页|Jiangsu University Researcher Yields New Data on Machine Learning (Research on O ptimizing English Translation Teaching Methods for College Students Using Machin e Learning Technology)

Jiangsu University Researcher Yields New Data on Machine Learning (Research on O ptimizing English Translation Teaching Methods for College Students Using Machin e Learning Technology)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting from Jiangsu, People’s Repu blic of China, by NewsRx journalists, research stated, “With the changes in the market situation for English majors, teaching English translation in colleges an d universities is also facing many challenges.” The news editors obtained a quote from the research from Jiangsu University: “Th is paper proposes an optimization strategy for English translation teaching meth ods by using machine learning technology to automatically identify English trans lation errors and extract text summaries. Pearson coefficient and multi-feature fusion technology are used to prejudge the correctness of English translation re sults, and according to the directed graph of wrong translation results, the aut omatic identification algorithm of English translation errors is constructed to automatically identify translation errors. The unsupervised machine learning Tex tRank algorithm is introduced and applied in text summary extraction, and combin ed with a multi-feature fusion computer system based on similarity relationships , it is improved to enhance the efficiency and quality of text extraction. Inner Mongolia Normal University set up an experimental class and a control class and applied this paper’s technology to practice English translation teaching. After the practice, the total English translation score of students in the experiment al class was 85.74, which was 4.41 higher than that of the control group, showin g a significant difference (P<0.05).”

Jiangsu UniversityJiangsuPeople’s Re public of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningTechnol ogy

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.17)