Multimedia Interaction-Based Computer-Aided Translation Technology in Applied English Teaching
Технология автоматизированного перевода на основе мультимедийного взаимодействия в обучении практическому английскому языку
2021-04-09
SCID: 54.1/9c5nb9sq
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applied English teachingcomputer-aided translationfuzzy mathematicsmachine translation evaluationmultimedia interaction
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Abstract (AI)
Multimedia interaction-based computer-aided translation (CAT) is an effective method for translating massive multimedia applications. It is an essential English learning tool for college students with majors in multimedia technology. English teachers need to properly guide their students to use CAT technology by improving the students’ English translation capabilities via reasonable setting of courses, selection of multimedia materials for teaching, and implementation of learning multimedia assessment. This paper proposes a semiautomatic evaluation method for a machine translation system based on fuzzy mathematics. It first discusses the characteristics of multimedia CAT software, describes its working principle, and proposes an optimization scheme suitable for translating teaching by analyzing its advantages and disadvantages. The author believes that only through the combination of multimedia interaction-based CAT teaching and traditional translation teaching we can better achieve the purpose of translation education to improve the quality and English-speaking talent.
Key Findings
1
Effective CAT-based translation education requires appropriately designed courses, selected multimedia teaching materials, and multimedia learning assessment.
2
It analyzes multimedia CAT software characteristics and working principles, then develops an optimization scheme tailored to translation teaching.
3
Multimedia interaction-based computer-aided translation is presented as an effective approach for translating large-scale multimedia applications and supporting applied English learning.
4
The abstract concludes that combining interactive CAT instruction with traditional translation teaching can improve translation education quality and English-language talent development.
5
The paper proposes a semiautomatic machine-translation evaluation method based on fuzzy mathematics.
Research Object
multimedia interaction-based computer-aided translation (CAT) technology in applied English teaching
Research Subject
the optimization and semiautomatic fuzzy-mathematics-based evaluation of CAT-supported translation teaching for improving students’ English translation capabilities
Publication Details
Publication Date
2021-04-09
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