Research on the Approach of Improving the Correct Segmentation of Prosodic Phrase
Peiqi Chai · Jisuanji gongcheng · 2003
Both the Chinese part-of-speech automatic tagging and prosodic phrase segmentation are important modulars in a Chinese text-to-speech system. When predicting phrase breaks using the boundary pattern and boundary distribution probabilities derived from hand-annotated corpus, the authors find that the POS tag 'g' is too ambiguous, which leads to the illogicality of the prediction of phrase breaks. This paper proposes an approach of modifying the POS tag set, so the POS tag 'g' will never be in this set. When tagging part-of-speech for Chinese, in order to improve the correct segmentation of prosodic phrase, the authors annotate morphemes with appropriate POS tags. According to this method train it on a close corpus of 100,000 characters and then test on an open test set of 50,000 characters. The primary experiment proves that the overall accuracy for POS tagging of close corpus and open test set is 96.67% and 92.60% respectively. The authors also test the prediction of phrase breaks on about 1000 sentences using the modified POS tag set, the recalling rate is around 66.21% , the correct rate is about 75.79%.