BROWSE
Detail
Journal Article
Decision-Tree-Based Markov Model for Phrase Break Prediction
- Authors
- Sang Hun Kim, Seung Shin Oh
- Issue Date
- 2007-08
- Citation
- ETRI Journal, v.29, no.4, pp.527-529
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- English
- Type
- Journal Article
- Abstract
- In this paper, a decision-tree-based Markov model for phrase break prediction is proposed The model takes advantage of the non-homogeneous- features-based classification ability of decision tree and temporal break sequence modeling based on the Markov process. For this experiment, a text corpus tagged with parts-of-speech and three break strength levels is prepared and evaluated The complex feature set, textual conditions, and prior knowledge are utilized; and chunking rules are applied to the search results. The proposed model shows an error reduction rate of about 11.6% compared to the conventional classification model.
- KSP Keywords
- Break strength, Classification models, Decision Tree(DT), Error reduction, Feature set, Markov model, Proposed model, Reduction rate, Search results, Text Corpus, Tree-based