采用无标注语料和词“粘连”剔除策略的韵律短语识别

doi:10.11896/j.issn.1002-137X.2016.02.011

Abstract

Abstract: Obtaining large-scale annotated corpus manually is very difficult and has some disadvantages.Based on the pause role of punctuation,this paper proposed a prosodic phrase recognition method which uses unlabeled corpus and “adhesion” culling strategy.In the method,punctuation is graded and given different weights when it is used to simulate the prosodic boundaries.For recognizing prosodic phrase boundaries automatically,a max entropy model is constructed based on an unlabeled corpus and a Top-K method is also used.According to the mutual information of two contiguous part of speech tagging,words are bundled into adhesion units and the prosodic boundaries appear in it are eliminated.The experimental results show that hierarchical use of punctuation and “adhesion” culling strategy can improve the performance of the model significantly.The method can obtain better recognition results.

Key words: Unlabeled corpus,Prosodic phrase boundary,Maximum entropy(ME),Mutual information

QIAN Yi-li and CAI Ying-ying. Recognition of Prosodic Phrases Based on Unlabeled Corpus and “Adhesion” Culling Strategy[J].Computer Science, 2016, 43(2): 51-56.

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Recognition of Prosodic Phrases Based on Unlabeled Corpus and “Adhesion” Culling Strategy

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