NDLI: Using Chi-Square Automatic Interaction Detector to Solve the Polysemy Problems in a Chinese to Taiwanese TTS System

Content Provider	IEEE Xplore Digital Library
Author	Yih-Jeng Lin Ming-Shing Yu Chin-Yu Lin
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Nat. Chung-Hsing Univ., Taichung (Ming-Shing Yu; Chin-Yu Lin) \|\| Dept. of Inf. Manage., Chien-Kuo Technol. Univ., Chung-Hua (Yih-Jeng Lin)
Abstract	We use chi-square automatic interaction detector (CHAID) to solve the polysemy problems in a Chinese to Taiwanese TTS system in this paper. Polysemy means there are words with more than one meaning or pronunciation, such as "???"(we), "???"(no), "???"(you), "???"(I), "???"(want) , and so on. The correct pronunciation of a word affects the comprehensibility (or clarity) and fluency of Taiwanese speech. We have shown that using language models to solve the polysemy problems with outstanding results. We use CHAID which has been found to be an elective approach for obtaining meaningful segments that are predictive of a K-category (nominal or ordinal) criterion variable to the polysemy problem in this paper. There are three words with polysemy problem be solved in this paper. They are "???"(no), "???"(up), and "???"(down). The numbers of kinds of pronunciation of the three words are 6, 3, and 4, respectively. Results show that the CHAID approach is over language models and decision list classifier.
Starting Page	362
Ending Page	367
File Size	343907
Page Count	6
File Format	PDF
ISBN	9780769533827
DOI	10.1109/ISDA.2008.78
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-26
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Taiwanese C2T TTS system Text analysis CHAID Educational institutions Information management polysemy Speech synthesis Application software Computer science Design engineering Education Detectors Intelligent systems
Content Type	Text
Resource Type	Article

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