Development of a Web-based Composition Support System --- Using Graph Clustering Methodologies Applied to an Associative Concepts Dictionary

Author

Jung, Jaeyoung ; Miyake, Maki ; Makoshi, Nobuyasu ; Akama, Hiroyuki

Author_Institution

Dept. of Human Syst. Sci., Tokyo Inst. of Technol.

fYear

2006

fDate

5-7 July 2006

Firstpage

431

Lastpage

435

Abstract

In this study, we propose a new Web-based language learning system, called associative composition support system (ACSS). Whereas most existing composition systems intend a grammatical, syntactical support, the new system focuses on helping learners write more fluently. This semantic support is contrived on the assumption that different types of lexical association could encourage the vocabulary building and learning in a newly interesting way. ACSS provides associative information on/between words, based on a semantic network built by graph clustering methodologies (MCL by Van Dongen and RMCL by Jung) that are applied to an associative concepts dictionary

Keywords

Internet; computer aided instruction; dictionaries; graph theory; semantic networks; Web-based composition support system; Web-based language learning system; associative composition support system; associative concept dictionary; graph clustering methodology; lexical association; semantic network; Composite materials; Dictionaries; Educational technology; Graphical user interfaces; Humans; Internet; Learning systems; Natural language processing; Vocabulary; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Learning Technologies, 2006. Sixth International Conference on

Conference_Location

Kerkrade

Print_ISBN

0-7695-2632-2

Type

conf

DOI

10.1109/ICALT.2006.1652465

Filename

1652465