Chinese tone modeling with stem-ML
Chinese tone modeling with stem-ML
复制标题
使用 Stem-ML 进行汉语声调建模
DOI：
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发表时间：
2000
期刊：
影响因子：
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通讯作者：
G. Kochanski
中科院分区：
文献类型：
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作者：
Chilin Shih;G. Kochanski
本文用Stem-ML标签对音调变化进行建模。在自然句子中，表面声调形状往往偏离其预期的规范形状，这给声调建模带来了挑战。在这项研究中，我们采用了一个Stem-ML标签子集，它包含了词汇音调和音节的语言动机韵律强度的信息。标签成功地捕获了“扭曲”的音调形状，并产生了上下文适当的表面变化。
This paper models tonal variations with Stem-ML tags. Surface tone shapes often deviate from their expected canonical shapes in natural sentences, presenting a challenging case to tone modeling. In this study we employed a subset of Stem-ML tags which incorporated information of lexical tones and linguistically motivated prosodic strength of the syllable. The tags successfully captured the ”distorted” tone shapes and produced contextually appropriate surface variations.