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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/3823

タイトル: A Semantic Network based Vocabulary Learning System
著者: Li, Mengyu
Hu, Daiping
Li, Yinsheng
Shao, Xiangru
キーワード: semantic network
knowledge based system
vocabulary learning
発行日: Nov-2005
出版者: JAIST Press
抄録: Semantic networks are basically graphic descriptions of knowledge composed of nodes and links that show hierarchical relationships between objects. A semantic network is made up of a number of circles or nodes which represent objects and description information about those objects. Nodes can be physical items, concepts, events, actions or attributes. The nodes are interconnected by links or arcs. These arcs show the relationships between the various objects and descriptive factors. Knowledge can be represented through using semantic networks. Lexical item learning from contexts of texts is an efficient way better than memorizing many single words. In this paper, we propose a semantic network based vocabulary learning system (SNVLS) which is a knowledge based system. It can analyze the contexts of texts to parse lexical items as objects and relationships for semantic networks and draw the visual graphic networks to improve vocabulary learning efficiency and effect. We study how to use semantic networks to represent contexts for texts. And then we study the architecture and implementation of the SNVLS. At last we present an experiment of using this SNVLS to demonstrate the difference of efficiency and effect in vocabulary learning between two groups who using SNVLS or not.
記述: The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html
IFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2033, Kobe, Japan
Symposium 3, Session 2 : Intelligent Information Technology and Applications Pattern Recognitiion with Applications
言語: ENG
URI: http://hdl.handle.net/10119/3823
ISBN: 4-903092-02-X
出現コレクション:IFSR 2005

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