Presentation 1997/11/22
Relative Difficulty of Various English Writings by Fuzzy Inference and Its Application to Selecting Teaching Materials
Hiromi BAN, Toby Dederick, Takashi OYABU,
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Abstract(in English) The styles of TIME and Newsweek, which are the most popular news magazines, were analyzed by using a computer. As a result, it was proved that both the frequency curve of words and that of characters had little changed for past 60 years. The frequency curve has an inflection point, by which the genre of English can be identified. After counting the percentage of essential words for junior high school students and high school students in the writings, we found the relative difficulty of them by fuzzy rules. It would be a good guide in selecting textbooks or supplementary readers.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) English style analysis / English education / teaching materials analysis / fuzzy inference
Paper # ET97-71
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Committee ET
Conference Date 1997/11/22(1days)
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Registration To Educational Technology (ET)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Relative Difficulty of Various English Writings by Fuzzy Inference and Its Application to Selecting Teaching Materials
Sub Title (in English)
Keyword(1) English style analysis
Keyword(2) English education
Keyword(3) teaching materials analysis
Keyword(4) fuzzy inference
1st Author's Name Hiromi BAN
1st Author's Affiliation Toyama University of International Studies()
2nd Author's Name Toby Dederick
2nd Author's Affiliation Hokuriku University
3rd Author's Name Takashi OYABU
3rd Author's Affiliation Toyama University of International Studies
Date 1997/11/22
Paper # ET97-71
Volume (vol) vol.97
Number (no) 397
Page pp.pp.-
#Pages 8
Date of Issue