Journal Article

An Algorithm for Generating a Dictionary of Japanese Scientific Terms

Yun-Sun Kang and Anthony A. MacIejewski

in Literary and Linguistic Computing

Published on behalf of ALLC: The European Association for Digital Humanities

Volume 11, issue 2, pages 77-85
Published in print June 1996 | ISSN: 0268-1145
e-ISSN: 1477-4615 | DOI: https://dx.doi.org/10.1093/llc/11.2.77
An Algorithm for Generating a Dictionary of Japanese Scientific Terms

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This article describes the implementation of algorithms for generating a dictionary of Japanese scientific terms originating from the English language. Such words are typically transliterated into katakana, one of the four distinct orthographies that commonly occur in Japanese texts. The effort required to learn katakana yields significant returns to readers of technical Japanese due to the high incidence of terms derived from English. The algorithms described here are able to automatically generate a katakana to English dictionary from raw Japanese text and its English translation, which in many cases is available in electronic form, with a reasonable degree of accuracy. The algorithm thus allows an instructor to generate specialized Japanese vocabularies from selected articles, so that he/she can individualize lessons for a particular student's technical interest and competence at reading katakana. The algorithm has been shown to be very effective in technical Japanese instruction and is currently used in a course on Japanese information processing for electrical engineering students at Purdue University.

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Subjects: Language Teaching and Learning ; Computational Linguistics ; Bibliography ; Digital Lifestyle ; Information and Communication Technologies

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