InSTIL/ICALL 2004 Symposium on Computer Assisted Learning June 17-19, 2004 Venice, Italy

Measuring the Appropriateness of Laxical Tones in Bisyllabic Chinese Words

Akira Ishida

Dept. of Computer Science and Media Engineering, University of Yamanashi, Japan

A method to classify Mandarin Chinese bisyllabic words based on the appropriateness of their tones was developed. Overall classification accuracy was approximately 86 percent. Depending on the tone combination, accuracy ranged from 64 to 100 percent. The proposed method might assist non-native learners acquiring tone pronunciation skills.

Full Paper

Bibliographic reference.  Ishida, Akira (2004): "Measuring the appropriateness of laxical tones in bisyllabic Chinese words", In ICALL-2004, paper 017.