唐代官制术语具有深厚的中国政治文化底蕴,其英译涉及术语职能概念知识矩阵的跨语言、跨文化、跨时空建构。依托Vyvyan Evans提出的词汇概念和认知模型理论(LCCM Theory)中的意义建构机制,以英文版著作The Cambridge History of China.V...唐代官制术语具有深厚的中国政治文化底蕴,其英译涉及术语职能概念知识矩阵的跨语言、跨文化、跨时空建构。依托Vyvyan Evans提出的词汇概念和认知模型理论(LCCM Theory)中的意义建构机制,以英文版著作The Cambridge History of China.Volume 3,Sui and Tang China(《剑桥中国隋唐史》)中唐代官制术语英译为例,探究术语译文如何基于译语词汇概念和认知模型,在英语中通过语义组构来表征源语官制术语概念并生成意义。研究发现:该书中的唐代官制术语英译呈现了7种概念表征和意义建构机制,生成了与源语术语概念具有一定等值性的意义,说明官制术语译介是跨语言跨文化跨时空的概念选择、整合与诠释的结果。展开更多
本研究采用汉译英与英译汉的实验设计,以大学英语四六级非高阶水平的大学生为研究对象,运用书面测试和思维报告的方法探讨了词汇概念和认知模型理论(LCCM理论)对多词性多义实词习得的作用。本研究结果表明,基于LCCM理论所构建的语义网...本研究采用汉译英与英译汉的实验设计,以大学英语四六级非高阶水平的大学生为研究对象,运用书面测试和思维报告的方法探讨了词汇概念和认知模型理论(LCCM理论)对多词性多义实词习得的作用。本研究结果表明,基于LCCM理论所构建的语义网络图能够显著提高学习者习得多词性多义实词的能力,对习得该类词汇的低频义项的促进作用尤为显著。经延时后测检验该习得方法也具有长期的记忆保持作用。学习者在推理语义时的心理表征也呈现出了有理有据的逻辑链条:追根溯源–辨析词性–确立模型–合理推断。可知,基于LCCM理论的教学法有效地提高了学习者的认知加工深度从而促进了长时习得。This study targeting at the non-advanced Chinese college EFL learners employed the translation test paradigm and think-aloud report to explore the effect of LCCM on teaching intricate polysemous words with multiple parts of speech. Detailed quantitative analysis indicates that the LCCM-based pedagogical approach significantly improves their ability to infer the unacquired meanings of complex polysemous words, the semantic items of low frequency in particular. Furthermore, the delay test and think-aloud test results manifest participants’ long-term retention and mental reasoning logic chain: 1) retrieving the core sense, 2) identifying the word class, 3) activating the cognitive model, 4) making reasonable inferences. The current study adds to the pedagogical significance of LCCM theory by proving that LCCM boosts learners’ lexical inference ability and secures long-term retention of target words.展开更多
In this paper, we apply the Least Square Constant Modulus Algorithm( LSCMA ) to the blind Multiuser Detection( MUD ). The algorithm is shown to be globally stable and convergent for any linearly independent set of...In this paper, we apply the Least Square Constant Modulus Algorithm( LSCMA ) to the blind Multiuser Detection( MUD ). The algorithm is shown to be globally stable and convergent for any linearly independent set of input data and converge faster than the conventional Steepest Descent CMA(SDCMA ) and Linearly Constrained CMA(LCCMA ),but more complex.展开更多
抽象名词词义在语篇中的准确把握,既是理解输入性文本的难点,也是任务式输出的关键。词汇概念与认知模型理论(Theory of Lexical Concepts and Cognitive Models)把语义建构的过程外显化,能够形象地展示语义在语篇中的变化。文章基于该...抽象名词词义在语篇中的准确把握,既是理解输入性文本的难点,也是任务式输出的关键。词汇概念与认知模型理论(Theory of Lexical Concepts and Cognitive Models)把语义建构的过程外显化,能够形象地展示语义在语篇中的变化。文章基于该理论阐释了抽象名词在语篇语境中的语义建构过程及翻译策略,从而达到翻译的灵活性和创新性。展开更多
文摘唐代官制术语具有深厚的中国政治文化底蕴,其英译涉及术语职能概念知识矩阵的跨语言、跨文化、跨时空建构。依托Vyvyan Evans提出的词汇概念和认知模型理论(LCCM Theory)中的意义建构机制,以英文版著作The Cambridge History of China.Volume 3,Sui and Tang China(《剑桥中国隋唐史》)中唐代官制术语英译为例,探究术语译文如何基于译语词汇概念和认知模型,在英语中通过语义组构来表征源语官制术语概念并生成意义。研究发现:该书中的唐代官制术语英译呈现了7种概念表征和意义建构机制,生成了与源语术语概念具有一定等值性的意义,说明官制术语译介是跨语言跨文化跨时空的概念选择、整合与诠释的结果。
文摘本研究采用汉译英与英译汉的实验设计,以大学英语四六级非高阶水平的大学生为研究对象,运用书面测试和思维报告的方法探讨了词汇概念和认知模型理论(LCCM理论)对多词性多义实词习得的作用。本研究结果表明,基于LCCM理论所构建的语义网络图能够显著提高学习者习得多词性多义实词的能力,对习得该类词汇的低频义项的促进作用尤为显著。经延时后测检验该习得方法也具有长期的记忆保持作用。学习者在推理语义时的心理表征也呈现出了有理有据的逻辑链条:追根溯源–辨析词性–确立模型–合理推断。可知,基于LCCM理论的教学法有效地提高了学习者的认知加工深度从而促进了长时习得。This study targeting at the non-advanced Chinese college EFL learners employed the translation test paradigm and think-aloud report to explore the effect of LCCM on teaching intricate polysemous words with multiple parts of speech. Detailed quantitative analysis indicates that the LCCM-based pedagogical approach significantly improves their ability to infer the unacquired meanings of complex polysemous words, the semantic items of low frequency in particular. Furthermore, the delay test and think-aloud test results manifest participants’ long-term retention and mental reasoning logic chain: 1) retrieving the core sense, 2) identifying the word class, 3) activating the cognitive model, 4) making reasonable inferences. The current study adds to the pedagogical significance of LCCM theory by proving that LCCM boosts learners’ lexical inference ability and secures long-term retention of target words.
文摘In this paper, we apply the Least Square Constant Modulus Algorithm( LSCMA ) to the blind Multiuser Detection( MUD ). The algorithm is shown to be globally stable and convergent for any linearly independent set of input data and converge faster than the conventional Steepest Descent CMA(SDCMA ) and Linearly Constrained CMA(LCCMA ),but more complex.
文摘抽象名词词义在语篇中的准确把握,既是理解输入性文本的难点,也是任务式输出的关键。词汇概念与认知模型理论(Theory of Lexical Concepts and Cognitive Models)把语义建构的过程外显化,能够形象地展示语义在语篇中的变化。文章基于该理论阐释了抽象名词在语篇语境中的语义建构过程及翻译策略,从而达到翻译的灵活性和创新性。
