C-ToBI-based pitch accent prediction using maximum-entropy model
SCIE
SCOPUS
- Title
- C-ToBI-based pitch accent prediction using maximum-entropy model
- Authors
- Kim, B; Lee, GG
- Date Issued
- 2006-01
- Publisher
- SPRINGER-VERLAG BERLIN
- Abstract
- We model Chinese pitch accent prediction as a classification problem with six C-ToBI pitch accent types, and apply conditional Maximum Entropy (ME) classification to this problem. We acquire multiple levels of linguistic knowledge from natural language processing to make well-integrated features for ME framework. Five kinds of features were used to represent various linguistic constraints including phonetic features, POS tag features, phrase break features, position features, and length features.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/24021
- DOI
- 10.1007/11751595_3
- ISSN
- 0302-9743
- Article Type
- Article
- Citation
- LECTURE NOTES IN COMPUTER SCIENCE, vol. 3982, page. 21 - 30, 2006-01
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