WRITING SUPPORT SYSTEM BASED ON A CONTEXT SENSITIVE VARIANT DICTIONARY

Aya Nishikawa, Ryo Nishimura, Yasuhiko Watanabe, Yoshihiro Okada, Masaki Murata

2010

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 for the contexts in official, business, and technical documents. Finally, we conducted a control experiment and show the effectiveness of our system.

References

  1. Nishikawa, Nishimura, Watanabe, and Okada: Writing Support System Dealing with Notational Variant Selection, CSEDU 2009, (2009).
  2. Nishikawa, Nishimura, Watanabe, Murata, and Okada: Dominant Variant Dictionaries for Supporting Variant Selection, IADIS AS 2009, (2009).
  3. Kubomura and Kameda: Information Retrieval System with Abilities of Processing Katakana-Allographs, Trans. of IEICE, Vol.J86-D-II, No.3, (2003).
  4. Kouda: Search method of variant notations on a science and technology document retrieval system, IPSJ SIG NL, Vol.2006, No.118, (2006).
  5. Bamba, Shinzato, and Kurohashi: Development of a Largescale Web Page Clustering System using an Open Search Engine Infrastructure TSUBAKI, IPSJ SIG NL, Vol.2008, No.4, (2008).
  6. Shimomura, Namiki, Nakagawa, and Takahashi: A method for detecting errors in Japanese sentences based on morphological analysis using minimal cost path search, Trans. of IPSJ, Vol.33, No.4, (1992).
  7. Araki, Ikehara, and Tukahara: A method for detecting and correcting of characters wrongly substituted, deleted or inserted in Japanese strings using 2nd-order Markov model, IPSJ SIG NL, Vol.93, No.79, (1993).
  8. Murata and Isahara: Extraction of negative examples based on positive examples: automatic detection of misspelled Japanese expressions and relative clauses that do not have case relations with their heads, IPSJ SIG NL, Vol.2001, No.69, (2001).
  9. Yokoyama: Can we predict preference for kanji form from newspaper data on character frequency?, IPSJ SIG CH, Vol.2006, No.10, (2006).
  10. Kurohashi and Kawahara: JUMAN Manual version 5.1 (in Japanese), Kyoto University, (2005).
  11. Kurohashi and Kawahara: KNP Manual version 2.0 (in Japanese), Kyoto University, (2005).
  12. Mainichi Shinbun CD-Rom data set 2005, 2006, and 2007, Nichigai Associates Co., (2006-2008).
Download


Paper Citation


in Harvard Style

Nishikawa A., Nishimura R., Watanabe Y., Okada Y. and Murata M. (2010). WRITING SUPPORT SYSTEM BASED ON A CONTEXT SENSITIVE VARIANT DICTIONARY . In Proceedings of the 2nd International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-674-023-8, pages 251-256. DOI: 10.5220/0002789702510256


in Bibtex Style

@conference{csedu10,
author={Aya Nishikawa and Ryo Nishimura and Yasuhiko Watanabe and Yoshihiro Okada and Masaki Murata},
title={WRITING SUPPORT SYSTEM BASED ON A CONTEXT SENSITIVE VARIANT DICTIONARY},
booktitle={Proceedings of the 2nd International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2010},
pages={251-256},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002789702510256},
isbn={978-989-674-023-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - WRITING SUPPORT SYSTEM BASED ON A CONTEXT SENSITIVE VARIANT DICTIONARY
SN - 978-989-674-023-8
AU - Nishikawa A.
AU - Nishimura R.
AU - Watanabe Y.
AU - Okada Y.
AU - Murata M.
PY - 2010
SP - 251
EP - 256
DO - 10.5220/0002789702510256