伴随着国家翻译实践的全面纵深发展,国家翻译实践地方化趋势日益明显。国家翻译实践地方化能为MTI(Master of Translation and Interpreting,翻译硕士专业学位)翻译教学提供实践平台,促进MTI翻译教学的健康发展。文章在探讨MTI翻译教学...伴随着国家翻译实践的全面纵深发展,国家翻译实践地方化趋势日益明显。国家翻译实践地方化能为MTI(Master of Translation and Interpreting,翻译硕士专业学位)翻译教学提供实践平台,促进MTI翻译教学的健康发展。文章在探讨MTI翻译教学原则与目标的基础上,以“河南地方特色文化对外翻译标准化术语库”(中英版)为例,归纳MTI翻译教学的改革路径,旨在将MTI翻译教学与地方翻译实践融合起来,为MTI翻译教学改革提供借鉴。展开更多
In order to improve the performance of the braincomputer interface system of motor imagery(MI),the optimization of the MI strategy is an effective means.Therefore,this paper proposes a motor-tactile imagery(MTI)strate...In order to improve the performance of the braincomputer interface system of motor imagery(MI),the optimization of the MI strategy is an effective means.Therefore,this paper proposes a motor-tactile imagery(MTI)strategy to improve the classification accuracy of the MI-based brain-computer interface(BCI)system by adding a corresponding strong correlation of tactile imagery to each imaginary action of the MI.Electroencephalogram(EEG)signals generated by different strategies were collected,and the corresponding classification accuracy was obtained.The experimental results showed that the performance of the MTI-training group was significantly better than that of the MI group and the MTI-without-training group.The MTI strategy proposed in this study can significantly improve the performance of BCI.展开更多
This conceptual study proposes a pedagogical framework that integrates Generative Artificial Intelligence tools(AIGC)and Chain-of-Thought(CoT)reasoning,grounded in the cognitive apprenticeship model,for the Pragmatics...This conceptual study proposes a pedagogical framework that integrates Generative Artificial Intelligence tools(AIGC)and Chain-of-Thought(CoT)reasoning,grounded in the cognitive apprenticeship model,for the Pragmatics and Translation course within Master of Translation and Interpreting(MTI)programs.A key feature involves CoT reasoning exercises,which require students to articulate their step-by-step translation reasoning.This explicates cognitive processes,enhances pragmatic awareness,translation strategy development,and critical reflection on linguistic choices and context.Hypothetical activities exemplify its application,including comparative analysis of AI and human translations to examine pragmatic nuances,and guided exercises where students analyze or critique the reasoning traces generated by Large Language Models(LLMs).Ethically grounded,the framework positions AI as a supportive tool,thereby ensuring human translators retain the central decision-making role and promoting critical evaluation of machine-generated suggestions.Potential challenges,such as AI biases,ethical concerns,and overreliance,are addressed through strategies including bias-awareness discussions,rigorous accuracy verification,and a strong emphasis on human accountability.Future research will involve piloting the framework to empirically evaluate its impact on learners’pragmatic competence and translation skills,followed by iterative refinements to advance evidence-based translation pedagogy.展开更多
文摘伴随着国家翻译实践的全面纵深发展,国家翻译实践地方化趋势日益明显。国家翻译实践地方化能为MTI(Master of Translation and Interpreting,翻译硕士专业学位)翻译教学提供实践平台,促进MTI翻译教学的健康发展。文章在探讨MTI翻译教学原则与目标的基础上,以“河南地方特色文化对外翻译标准化术语库”(中英版)为例,归纳MTI翻译教学的改革路径,旨在将MTI翻译教学与地方翻译实践融合起来,为MTI翻译教学改革提供借鉴。
文摘In order to improve the performance of the braincomputer interface system of motor imagery(MI),the optimization of the MI strategy is an effective means.Therefore,this paper proposes a motor-tactile imagery(MTI)strategy to improve the classification accuracy of the MI-based brain-computer interface(BCI)system by adding a corresponding strong correlation of tactile imagery to each imaginary action of the MI.Electroencephalogram(EEG)signals generated by different strategies were collected,and the corresponding classification accuracy was obtained.The experimental results showed that the performance of the MTI-training group was significantly better than that of the MI group and the MTI-without-training group.The MTI strategy proposed in this study can significantly improve the performance of BCI.
文摘This conceptual study proposes a pedagogical framework that integrates Generative Artificial Intelligence tools(AIGC)and Chain-of-Thought(CoT)reasoning,grounded in the cognitive apprenticeship model,for the Pragmatics and Translation course within Master of Translation and Interpreting(MTI)programs.A key feature involves CoT reasoning exercises,which require students to articulate their step-by-step translation reasoning.This explicates cognitive processes,enhances pragmatic awareness,translation strategy development,and critical reflection on linguistic choices and context.Hypothetical activities exemplify its application,including comparative analysis of AI and human translations to examine pragmatic nuances,and guided exercises where students analyze or critique the reasoning traces generated by Large Language Models(LLMs).Ethically grounded,the framework positions AI as a supportive tool,thereby ensuring human translators retain the central decision-making role and promoting critical evaluation of machine-generated suggestions.Potential challenges,such as AI biases,ethical concerns,and overreliance,are addressed through strategies including bias-awareness discussions,rigorous accuracy verification,and a strong emphasis on human accountability.Future research will involve piloting the framework to empirically evaluate its impact on learners’pragmatic competence and translation skills,followed by iterative refinements to advance evidence-based translation pedagogy.
