Presentation 2009-11-06
Predicting rules of difficulty in discriminating bi-syllabic Chinese tones for compiling word lists in a CAI self-teaching system
Song LIU, Shizuo HIKI,
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Abstract(in English) Predicting rules of difficulty in discriminating bi-syllabic Chinese tones were investigated, in order to compile the word list properly in a CAI self-teaching system developed by the present authors. Observed data were ratio of incorrect answer by Japanese college students for each syllable in bi-syllabic words with all the combinations of the four tones. Rules of predicting the observed data utilized 1) properties of confusion among voice pitch patterns in bi-syllabic tones, 2) ill effects of kinds of consonants and vowels involved in each syllable, 3) unclearness of the utterance of speech presented in the system, and 4) degree of unfamiliarity of the words. By applying these rules to the linear multi-regression model, accuracy of predicting high enough for practical use was obtained.
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Keyword(in English) Chinese four tones / Tonal discrimination / CAI self-teaching system / Acoustical analysis / Predicting difficulty
Paper # ET2009-50
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Committee ET
Conference Date 2009/10/30(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) Predicting rules of difficulty in discriminating bi-syllabic Chinese tones for compiling word lists in a CAI self-teaching system
Sub Title (in English)
Keyword(1) Chinese four tones
Keyword(2) Tonal discrimination
Keyword(3) CAI self-teaching system
Keyword(4) Acoustical analysis
Keyword(5) Predicting difficulty
1st Author's Name Song LIU
1st Author's Affiliation School of Human Sciences, Waseda University()
2nd Author's Name Shizuo HIKI
2nd Author's Affiliation Language and Speech Science laboratory, Waseda University
Date 2009-11-06
Paper # ET2009-50
Volume (vol) vol.109
Number (no) 268
Page pp.pp.-
#Pages 6
Date of Issue