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Towards a Knowledge Management Model for Online Translation Learning

机译:迈向在线翻译学习的知识管理模型

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This paper endeavors to build a knowledge management model for translation learning with special reference to an on-line translation teaching platform. The Platform features a computable network of inter-related and hierarchically distributed conceptual representations of the knowledge in this field. The representation utilizes "tag-words" as the knowledge nodes to form a roadmap of navigation and also as the keywords to introduce theory-informed annotations. This knowledge management system of tag-words aims to advance our understanding of how the knowledge of language and use of language can be modeled in the source language context and remodeled in different settings of the target language context With the help of this knowledge management system, we may explore the ontological representations of translation and provide a navigation roadmap capable of generating effective learning pathways for learners. Facilitated by the platform, learning activities may be designed to investigate the behavioral patterns of knowledge construction in specific translation learning tasks.
机译:本文努力为翻译学习建立一个知识管理模型,特别参考在线翻译教学平台。该平台具有在该字段中的相关和分层分布的相关概念表示的可计算网络。该表示利用“标签字”作为知识节点,以形成导航的路线图,也是作为介绍理论知识的注释的关键字。这种标签的知识管理系统旨在提高我们对语言知识和语言的使用的理解可以在源语言上下文中建模,并在此知识管理系统的帮助下在目标语言上下文的不同设置中进行重新建立,我们可以探索翻译的本体论述,并提供能够为学习者产生有效学习途径的导航路线图。通过平台促进,学习活动可能旨在调查特定翻译学习任务中知识建设的行为模式。

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