What question did this study set out to answer?

To establish and evaluate an efficiency optimization framework that balances machine translation speed with human proofreading quality across varied cross-cultural communication scenarios.

August 16, 2026Advanced ElectromagneticsOpen Access

Optimizing Language Service Efficiency Through Machine Translation and Human Proofreading Collaboration in Cross-Cultural Communication Scenarios

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Authors

ZLZ. X. LiuSanya University YDY. Y. DuJilin University XZXun ZhangHarbin University of Science and Technology

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Implication

Comparative evaluation demonstrates a collaborative machine translation framework cuts review cycles and costs across diverse translation scenarios, indicating improved language service efficiency.

Key Points

To establish and evaluate an efficiency optimization framework that balances machine translation speed with human proofreading quality across varied cross-cultural communication scenarios.
Designed a three-stage workflow consisting of machine translation pretranslation, intelligent error classification, and proofreading priority ranking tailored to business, academic, and public service scenarios.
Integrated a BERT model (error recognition F1-score of 0.92) with a fuzzy analytic hierarchy process to construct a proofreading-priority matrix and conducted comparative experiments.
Reduced business translation cycles by 42%, lowered academic proofreading costs by 38%, and decreased cultural-adaptation error rates in public services by 51%.
Increased effective translation volume per unit time by 2.3 times and boosted efficiency in minor-language scenarios by at least 1.8 times.

Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/6a817a4cf2fb91fc834ae000 https://doi.org/10.7716/aem.v15i3.3624

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Implication

Comparative evaluation demonstrates a collaborative machine translation framework cuts review cycles and costs across diverse translation scenarios, indicating improved language service efficiency.

Optimizing Language Service Efficiency Through Machine Translation and Human Proofreading Collaboration in Cross-Cultural Communication Scenarios

Discussion

Member takes

Implication

Key Points

Cite This Study

Optimizing Language Service Efficiency Through Machine Translation and Human Proofreading Collaboration in Cross-Cultural Communication Scenarios

Discussion

Member takes

Implication

Key Points

Cite This Study

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