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Learning a Tonal Language by Attending to the Tone: An In Vivo Experiment
Author(s) -
Liu Ying,
Wang Min,
Perfetti Charles A.,
Brubaker Brian,
Wu Sumei,
MacWhinney Brian
Publication year - 2011
Publication title -
language learning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.882
H-Index - 103
eISSN - 1467-9922
pISSN - 0023-8333
DOI - 10.1111/j.1467-9922.2011.00673.x
Subject(s) - pinyin , spelling , tone (literature) , speech recognition , psychology , standard chinese , perception , computer science , linguistics , artificial intelligence , chinese characters , philosophy , neuroscience
Learning the Chinese tone system is a major challenge to students of Chinese as a second or foreign language. Part of the problem is that the spoken Chinese syllable presents a complex perceptual input that overlaps tone with segments. This complexity can be addressed through directing attention to the critical features of a component (tone in this case) within a complex perceptual input stimulus. We tested hypotheses based on this feature‐focusing assumption in an in vivo classroom setting. First‐year students in a Chinese language program at a U.S. university were trained to identify the tones of 228 syllables learned across eight lessons in the first semester. Three learning conditions were designed to support tone learning by presenting (a) visual pitch contours that depict the acoustic shape of the tones, together with pinyin spelling of the spoken syllables (Contour + Pinyin condition); (b) numbers that represent the tones in traditional computer interface, together with pinyin spelling of the spoken syllables (Number + Pinyin condition); and (c) visual pitch contours without pinyin spelling (Contour Only condition). Analyses of student activity logs (learning curves) and pretests and posttests showed significant effects of learning condition. The results suggested that the Contour + Pinyin condition had more error reduction in tone recognition over the activity log than the Contour Only condition and greater improvement from the pretest to posttest than the Number + Pinyin condition. These findings point at the value of separate support for the two major components (tone and segments) of a tonal language.