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Stress distribution based on dependency parsing of Chinese discourse

机译:基于汉语话语依存分析的压力分布

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摘要

Dependency parsing is known as a syntactic or a shallow semantic analysis in NLP (Natural Language Processing). This paper conducts an interface study between syntax (dependency) and prosody (stress). The stress distribution patterns are statistically analyzed across 24 dependency relations based on HIT (Harbin Institute of Technology) dependency scheme [1] for a Chinese spoken discourse corpus. It shows that the intonation stress is more likely to appear at dependency relations of SBV, ATT, ADV and VOB. Besides, the stress distribution pattern within each relation is analyzed. The rule that the modifier is more likely to be stressed has been proved to some extent. The results demonstrate that there is an intrinsic association between stress distribution and dependency relation.
机译:依赖项解析在NLP(自然语言处理)中被称为语法或浅层语义分析。本文进行了语法(依赖)和韵律(重音)之间的接口研究。基于中国话语语料库的HIT(哈尔滨工业大学)依存方案[1],对24种依存关系的压力分布模式进行了统计分析。它表明,语调重音更可能出现在SBV,ATT,ADV和VOB的依赖关系上。此外,分析了每个关系内的应力分布模式。某种程度上证明了修饰符更可能被强调的规则。结果表明,应力分布与依赖关系之间存在内在联系。

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