Rethinking representations: A log-bilinear model of phonotactics
Rethinking representations: A log-bilinear model of phonotactics
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发表时间：
2023
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通讯作者：
Huteng Dai;Connor Mayer;Richard Futrell
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作者：
Huteng Dai;Connor Mayer;Richard Futrell
音位学模型包括亚音段表示法，以便推广到未经证实的序列。这些表示可以至少以两种方式编码：作为离散的、基于语音的特征，或者作为从声音的统计模式导出的连续的、基于分布的表示。由于音系学理论通常假设表征是离散的，过去的工作将连续表征简化为离散表征，这消除了潜在的相关信息。本文提出了一个可以直接使用连续表征的音位学模型，并证明了该方法在模拟英语音序实验判断方面具有竞争力。该模型通过消除对离散特征的要求，拓宽了可能的语音定向模型的空间，并朝着基于分布统计和连续表示的语音策略学习的综合图景迈进了一步。
Models of phonotactics include subsegmen-tal representations in order to generalize to unattested sequences. These representations can be encoded in at least two ways: as discrete, phonetically-based features, or as continuous, distribution-based representations induced from the statistical patterning of sounds. Because phonological theory typically assumes that representations are discrete, past work has reduced continuous representations to discrete ones, which eliminates potentially relevant information. In this paper we present a model of phonotactics that can use continuous representations directly, and show that this approach yields competitive performance on modeling experimental judgments of English sonority sequencing. The proposed model broadens the space of possible phonotactic models by removing requirements for discrete features, and is a step towards an integrated picture of phono-tactic learning based on distributional statistics and continuous representations.