Support Vector Machine for Chinese Part-Of-Speech Tagging in Speech Synthesis Systems
Xiang Wang, Jianping Zhang, Yonghong Yan · 2010
The paper presents a support vector machine based Part-Of-Speech tagging on Chinese database which is part of our speech synthesis system. The model can be classified as SVM model and uses many sequential features to predict the POS tag. The text database was download from the internet with 1,280,000 words and 33 parts of Speech. The total accuracy of our experiments is 99.31%.