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信号平滑与句法选择:对通用标识符假设的批判性反思

Signal Smoothing and Syntactic Choices: A Critical Reflection on the UID Hypothesis.

作者信息

Juzek Tom S

机构信息

Department of Modern Languages and Linguistics, Florida State University, Tallahassee, FL, USA.

出版信息

Open Mind (Camb). 2024 Mar 5;8:217-234. doi: 10.1162/opmi_a_00125. eCollection 2024.

Abstract

The Smooth Signal Redundancy Hypothesis explains variations in syllable length as a means to more uniformly distribute information throughout the speech signal. The Uniform Information Density hypothesis seeks to generalize this to choices on all linguistic levels, particularly syntactic choices. While there is some evidence for the Uniform Information Density hypothesis, it faces several challenges, four of which are discussed in this paper. First, it is not clear what exactly counts as uniform. Second, there are syntactic alternations that occur systematically but that can cause notable fluctuations in the information signature. Third, there is an increasing body of negative results. Fourth, there is a lack of large-scale evidence. As to the fourth point, this paper provides a broader array of data-936 sentence pairs for nine syntactic constructions-and analyzes them in a test setup that treats the hypothesis as a classifier. For our data, the Uniform Information Density hypothesis showed little predictive capacity. We explore ways to reconcile our data with theory.

摘要

平滑信号冗余假说将音节长度的变化解释为一种在整个语音信号中更均匀地分布信息的手段。均匀信息密度假说试图将此推广到所有语言层面的选择,尤其是句法选择。虽然有一些证据支持均匀信息密度假说,但它面临着几个挑战,本文将讨论其中四个。第一,尚不清楚究竟什么才算均匀。第二,存在一些系统性发生的句法交替,但这些交替会导致信息特征出现显著波动。第三,负面结果越来越多。第四,缺乏大规模证据。关于第四点,本文提供了更广泛的数据——针对九种句法结构的936个句子对——并在将该假说视为分类器的测试设置中对其进行分析。对于我们的数据,均匀信息密度假说几乎没有预测能力。我们探索使我们的数据与理论相协调的方法。

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