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Share Paper 1233

Modeling Distinctive Feature Emergence
Jeff Mielke
281-289 (complete paper or proceedings contents)


This paper provides an account of the abundance of natural classes without recourse to innate features. Evidence is provided from a computational model of class emergence which is based on readily observable aspects of phonetic similarity. Data for the simulation is provided by a featureless phonetic similarity metric which is based on objective acoustic and articulatory measurements, including ultrasound and airflow data.

Published in

Proceedings of the 24th West Coast Conference on Formal Linguistics
edited by John Alderete, Chung-hye Han, and Alexei Kochetov
Table of contents
Printed edition: $375.00