Generalized Additive Mixed Models for intraspeaker variation

Meredith Tamminga · Christopher A. Ahern · Aaron Ecay

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Linguistic Variation and Morphology Phonetics and Phonology Research Language Development and Disorders

Abstract

Abstract Intraspeaker sociolinguistic variation is typically characterized by repetitiveness in what choices speakers make from moment to moment, but there are multiple possible sources of such repetitiveness. We distinguish two types of temporal clustering: sequential dependence and baseline deflection. We argue that because we have independent reasons from sociolinguistics and psycholinguistics to believe both types are at play in speech production, it is desirable to adopt quantitative models that can simultaneously estimate these distinct sources of temporal clustering. We propose the use of Generalized Additive Mixed Models (GAMMs) for this purpose and illustrate with a case study of DH-stopping in Philadelphia English sociolinguistic interviews. We advocate for the adoption of GAMMs to advance the use of naturalistic data for studying psycholinguistic questions about intraspeaker variation.

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References

2010Principles of Linguistic Change 2005Syntactic Priming: A Corpus-based Approach 2006Morphosyntactic Persistence in Spoken English 2001Analyzing Linguistic Variation: Statistical Models and Methods 2004Perseveration of subject expression across regional dialects of Spanish 2002The anatomy of style-shifting 2016The dynamics of variation in individuals 2014Lexical Differences between Tuscan Dialects and Standard Italian: Accounting for Geographicand Sociodemographic Variation using Generalized Additive Mixed Modeling

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