Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-13T10:19:28.934Z Has data issue: false hasContentIssue false

Lexical biases are useful

Published online by Cambridge University Press:  10 October 2000

José R. Benkí
Affiliation:
Program in Linguistics, University of Michigan, Ann Arbor, MI 48109-1285. benki@umich.edu www-personal.umich.edu/~benki/

Abstract

I present two criticisms: (1) Merge is a model of performance in speech perception experiments but not an ecologically valid model integrating both word recognition and speech perception, and (2) Merge's implementation of the variability of lexical effects must be made more precise or the model is indistinguishable from its alternatives.

Type
Brief Report
Copyright
© 2000 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)