Shows how to characterize language learning in a finite parameter space, such as in the "principles-and-parameters" approach, as a Markov structure. Explains how sample complexity varies with input distributions and learning regimes. Finds that a simple random-step algorithm always converges to the right target language and works faster than a…

In a recent "Cognition" paper ("Cognition" 85 (2002) B21), Bornkessel, Schlesewsky, and Friederici report ERP data that they claim "show that online processing difficulties induced by word order variations in German cannot be attributed to the relative infrequency of the constructions in question, but rather appear to reflect the application of…

We show that Kempen and Harbusch's ("Cognition" (2003) "this issue") arguments against our claims cannot be upheld. On the one hand, their alternative account of our data that is based on the availability of constructions with object-experiencer verbs is not compatible with the literature on the processing of these types of sentences in German.…

Reports four experiments examining subject-verb agreement errors in Spanish and English. Discusses cross-linguistic differences within the framework of the computational model of grammatical encoding proposed by Kempen and Hoenkamp. Suggests that languages differ in the extent to which the selection of the verb is controlled by features on the…