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Investigating Effect of Rich Syntactic Features on Mandarin Prosodic Boundaries Prediction

机译:丰富的句法特征对普通话韵律边界预测的影响

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Previous researches indicated that syntactic information could improve the performance of automatic prosodic boundaries prediction. However, few researches focused on the usefulness of various syntactic features on different phrase boundaries prediction in detail, especially the verification on large-scale corpus. This paper investigates the effect of different syntactic feature combinations for phrase boundaries prediction based on a large-scale Mandarin corpus. Syntactic phrase structure and dependency relationship are both introduced and compared in the experiments. The evaluations of all the features in different time-span as well as feature importance are also carried out. The experimental results show that prediction models of prosodic word and prosodic phrase achieve the best performance with syntactic phrase and dependency features, while the models with dependency features outperform other models when predicting intonational phrase. Furthermore, the performance of intonational phrase is improved obviously by concerning syntactic global features. Meanwhile, the experiments also find that the relationship between syntactic local features and lower level prosodic boundaries: prosodic phrase and prosodic word, is closer.
机译:先前的研究表明,句法信息可以提高自动韵律边界预测的性能。然而,很少有研究集中于各种语法特征对不同短语边界预测的有用性,特别是对大规模语料库的验证。本文研究了基于大规模普通话语料库的不同句法特征组合对短语边界预测的影响。在实验中介绍并比较了句法短语结构和依存关系。还对不同时间范围内的所有特征以及特征重要性进行了评估。实验结果表明,韵律词和韵律词组的预测模型在句法短语和从属特征的预测中表现最佳,而从属词组的预测模型在转入民族短语时则优于其他模型。此外,通过关注句法全局特征,可以显着提高国际化短语的性能。同时,实验还发现句法局部特征与较低层次的韵律边界(韵律词组和韵律词)之间的关系更加紧密。

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