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An Automated English Translation Judging System Based on Feature Extraction Algorithm

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DOI: 10.23977/jaip.2022.050407 | Downloads: 14 | Views: 781


Ruichao Li 1


1 School of Translation Studies, Xi'an Fanyi University, Xi'an, Shaanxi, China

Corresponding Author

Ruichao Li


As an important and necessary element in the assessment of students’ English language ability, translation is a comprehensive indicator of students’ mastery and ability to use English vocabulary, sentence structure, grammar, and other indicators. Compared to other types of questions, the task of marking translation is more demanding and time-consuming, and the objectivity and fairness of marking are more difficult to ensure because the assessment criteria for translation are relatively flexible. Feature extraction algorithms, which have developed rapidly and been widely used in recent years, can learn and extract development patterns from information such as images and texts, and make judgments in the corresponding context, while English translation(ET) texts have the characteristics of diverse and quantifiable feature points related to grading, and the feasibility of automatic grading exists. Therefore, this paper carries out the design and implementation of a relevant automatic RATING system based on feature extraction algorithms, with a view to improving the fairness, accuracy and efficiency of translation rating.


Feature Extraction Algorithm, English Translation, Automatic Trading, and Evaluation Criteria


Ruichao Li, An Automated English Translation Judging System Based on Feature Extraction Algorithm. Journal of Artificial Intelligence Practice (2022) Vol. 5: 48-54. DOI:


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