Title |
A Context Sensitive Variant Dictionary for Supporting Variant Selection |
Authors |
Aya Nishikawa, Ryo Nishimura, Yasuhiko Watanabe and Yoshihiro Okada |
Abstract |
In Japanese,there are a large number of notational variants of words.This is becauseJapanese words are written in three kinds of characters:kanji (Chinese) characters, hiragara letters, and katakana letters.Japanese students study basic rules of Japanese writing in school for manyyears.However,it is difficult tolearn which variant is suitable fora certain context in official, business, and technical documentsbecause the rules have many exceptions.Previous Japanese writing support systemswere not concerned with them sufficiently.This is because their main purposes were misspelling detection.Students often use variants which are not misspellingbut unsuitable for the contexts in official, business, and technical documents.To solve this problem,we developed a context sensitive variant dictionary.A writing support system based on the context sensitive variant dictionarydetects unsuitable variants for the contexts in students' reportsand shows suitable ones to the students.In this study,we first show how to develop a context sensitive variant dictionaryby which our system determines which variant is suitable fora context in official, business, and technical documents.Finally,we conducted a control experiment andshow the effectiveness of our dictionary. |
Language |
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Topics |
Lexicon, lexical database, Tools, systems, applications |
Full paper  |
A Context Sensitive Variant Dictionary for Supporting Variant Selection |
Bibtex |
@InProceedings{NISHIKAWA10.699,
author = {Aya Nishikawa, Ryo Nishimura, Yasuhiko Watanabe and Yoshihiro Okada}, title = {A Context Sensitive Variant Dictionary for Supporting Variant Selection}, booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |