Using Prosody to Predict Syntactic Structure

2026-08-31

AI Summary

研究通过信息论视角，利用多模态语言模型量化韵律特征与句法结构间的互信息，证明韵律可减少口语中句法不确定性。

Abstract

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.

Problem

• Prosody
• Syntactic Structure
• Mutual Information

Innovation

• information-theoretic approach
• mutual information
• multimodal language models
• syntax-prosody interface