Authors:
Aya Nishikawa
1
;
Ryo Nishimura
1
;
Yasuhiko Watanabe
1
;
Yoshihiro Okada
1
and
Masaki Murata
2
Affiliations:
1
Ryukoku University, Japan
;
2
NICT, Japan
Keyword(s):
Writing support system, Notational variant, Context suitable variant, Context sensitive dictionary.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Computer-Supported Education
;
e-Learning
;
Enterprise Information Systems
;
Information Technologies Supporting Learning
;
Intelligent Tutoring Systems
;
Web-Based Learning, Wikis and Blogs
Abstract:
In Japanese, it is difficult to learn which variant is suitable for various contexts in official, business, and technical documents because there are a large number of notational variants of Japanese words and Japanese writing rules have many exceptions. From the viewpoint of information retrieval, a considerable number of studies have been made on notational variants, however, previous Japanese writing support systems were not concerned with them sufficiently. To solve this problem, we developed a writing support system which detects notational variants unsuitable for the contexts in students’ reports and shows suitable ones to the students. This system is based on the idea that context suitable variants are used dominantly in the context of official, business, and technical documents. In this study, we first show the diversity of notational variants of Japanese words and how to develop a context sensitive variant dictionary by which our system determines which variant is suitable f
or the contexts in official, business, and technical documents. Finally, we conducted a control experiment and show the effectiveness of our system.
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