用韵律预测句法结构
Using Prosody to Predict Syntactic Structure
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- Georgetown University（乔治城大学）
- UC San Diego（加州大学圣迭戈分校）
- MIT（麻省理工学院）
- ETH Zürich（苏黎世联邦理工学院）
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中文总结 AI 辅助
该研究从信息论视角提出通用框架，利用多模态语言模型量化韵律与句法的互信息，发现韵律可降低自然对话中10.2%的句法不确定性，为相关理论提供实证支持。
中文摘要 AI 辅助
尽管韵律承载着句法结构的关键线索已被广泛认可，但这两个领域之间对应关系的程度与性质仍存在争议。我们从信息论视角研究句法-韵律界面，将韵律特征与句法表征之间的相互作用量化为互信息。我们提出了一种通用框架，用于使用多模态语言模型在大型语音-文本语料库上估计该量。该框架与结构无关且具有模块化特点，可用于测量单个韵律特征或结构组件的贡献。我们针对两种特征（词长和词间停顿）在两个领域（英语有声读物和自然对话）中评估句法-韵律关系。结果表明，韵律包含可测量的句法信息，在自然对话中，韵律特征可将句法不确定性降低多达10.2%。我们的发现为句法-韵律界面的几种理论解释提供了新的实证支持。
英文摘要
While it is well-established that prosody carries crucial cues for syntactic structure, the degree and nature of correspondence between these two domains remains contested. We investigate the syntax-prosody interface through an information-theoretic lens, quantifying the interaction between prosodic features and syntactic representations as their mutual information. We provide a general-purpose framework for estimating this quantity over large speech-text corpora using multimodal language models. Our framework is structure-agnostic and modular, insofar as it can be used to measure the contributions of individual prosodic features or components of structure. We evaluate the syntax-prosody relationship for two features (word duration and inter-word pauses) across two domains--read audiobooks and spontaneous conversations--both in English. Our results demonstrate that prosody contains measurable syntactic information, with prosodic features reducing syntactic uncertainty in spontaneous conversations by up to 10.2%. Our findings offer new empirical support for several theoretical accounts of the syntax-prosody interface.
