计算机工程2018，Vol.44Issue(1)：306-310,316,6.DOI:10.3969/j.issn.1000-3428.2018.01.051
基于依存信息融合特征的汉语韵律预测
Chinese Prosodic Prediction Based on Dependency Information Fusion Feature
摘要
Abstract
Aiming at the weak ability of predicting the prosodic level based on the characteristics of shallow grammar and dependence-based syntactic single feature,this paper proposes an improved Chinese prosodic prediction method.By extracting the dependency syntactic single feature from the dependency parsing results of the input text and integrating key features,the dependent information fusion feature is obtained.The syntactic single feature is compared with the fusion feature through the prosodic hierarchical predictive experiment.The optimal dependence feature combination is combined with the shallow grammar feature,and the C4.5 algorithm is used to predict the prosodic hierarchy.After a lot of corpus training and testing,results show that the prosodic predictions of interdependent information fusion features are better than the predicative ones based on dependency syntax.Compared with rhyme hierarchical law prediction based on shallow grammar features,the accuracy of prosodic word is increased by 5.8％,and the precision of prosodic phrase is increased by 15.4％.关键词
依存句法/融合特征/C4.5算法/语料/韵律词/韵律短语Key words
dependency syntax/fusion feature/C4.5 algorithm/corpus/prosodic word/prosodic phrase分类
信息技术与安全科学引用本文复制引用
李勇,王柳渝,魏珰..基于依存信息融合特征的汉语韵律预测[J].计算机工程,2018,44(1):306-310,316,6.基金项目
国家科技重大专项(2015ZX03003011) （2015ZX03003011）
2015年重庆市物联网产业共性关键技术创新主题专项(cstc2015zdcy-ztzx70007). （cstc2015zdcy-ztzx70007）
