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Research explores collaboration and outcomes of Computer-Assisted and Machine Translation in professional localization, highlighting efficiency and quality improvements.
This research delves into the collaborative integration methods and practical outcomes of Computer - Assisted Translation (CAT) tools and Machine Translation (MT) within professional localization workflows through an analysis of core workflow stages.Specifically,it probes into how the corpus management and terminology consistency functions of CAT supplement the rapid translation abilities of MT. The research inspects integrated implementation models throughout the pre-processing stage,actual translation phase,and post - review optimization stage. Results show that strategic cooperation can cut down on repetitive labor expenses while improving output efficiency and quality standards. It also points out crucial technical compatibility issues and the necessity of balancing human involvement in current integration practices,offering practical technical references for professional localization operations.
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Zhao Bin (2026) studied this question.
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