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In Japanese, there are a large number of notational variants of words. This is because Japanese 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 many years. However, it is difficult to learn which notational variant is suitable for official, business, and technical documents because the 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. This is because their main purposes were misspelling detection. Nondominant notational variants are not misspelling, but often unsuitable for official, business, or technical documents. To solve this problem, we developed a writing support system which detects nondominant notational variants in students’ reports and shows dominant ones to the students. This system is based on the idea that suitable notational variants are used dominantly in official, business, and technical documents. In this study, we first show the diversity of notational variants of Japanese words and how to develop notational variant dictionaries by which our system determines which notational variant is dominant in official, business, and technical documents. Finally, we conducted a control experiment and show the effectiveness of our system.

WRITING SUPPORT SYSTEM DEALING WITH NOTATIONAL VARIANT SELECTION