Linking Cognitive and Social Aspects of Sound Change Using Agent-Based Modeling
Authored by Jonathan Harrington, Felicitas Kleber, Ulrich Reubold, Florian Schiel, Mary Stevens
Date Published: 2018
DOI: 10.1111/tops.12329
Sponsors:
European Research Council (ERC)
Platforms:
R
Model Documentation:
Other Narrative
Model Code URLs:
ftp://ftp.bas.uni-muenchen.de/pub/BAS/ABM/DemoABM.1.zip
Abstract
The paper defines the core components of an interactive-phonetic (IP)
sound change model. The starting point for the IP-model is that a
phonological category is often skewed phonetically in a certain
direction by the production and perception of speech. A prediction of
the model is that sound change is likely to come about as a result of
perceiving phonetic variants in the direction of the skew and at the
probabilistic edge of the listener's phonological category. The results
of agent-based computational simulations applied to the sound change in
progress, /u/-fronting in Standard Southern British, were consistent
with this hypothesis. The model was extended to sound changes involving
splits and mergers by using the interaction between the agents to drive
the phonological reclassification of perceived speech signals. The
simulations showed no evidence of any acoustic change when this extended
model was applied to Australian English data in which /s/ has been shown
to retract due to coarticulation in /str/ clusters. Some agents
nevertheless varied in their phonological categorizations during
interaction between /str/ and /?tr/: This vacillation may represent the
potential for sound change to occur. The general conclusion is that many
types of sound change are the outcome of how phonetic distributions are
oriented with respect to each other, their association to phonological
classes, and how these types of information vary between speakers that
happen to interact with each other.
Using agent-based modelling, Harrington, Kleber, Reubold, Schiel \&
Stevens (2018) develop a unified model of sound change based on
cognitive processing of human speech and theories of how social factors
constrain the spread of change throughout a community. They conclude
that many types of change result from how biases in the phonetic
distribution of phonological categories are transmitted via
accommodation processes between individuals in interaction.
Tags
Agent-based modeling
perspective
context
Convergence
Variability
Adults
Recognition
Sound change
Speech-perception
Coarticulation
Human speech processing
Speech accommodation
Dialect acquisition
Neutralization
Recalibration