Number lends itself to the study of how input interacts with transferred first language (L1) knowledge to facilitate or impede second language (L2) learning. We present data from adult English speakers exposed for the first time to Indonesian, a language that expresses number through bare noun phrases, reduplication and numeral + classifier…

In this commentary, Lardiere's discussion of features is compared with the use of features in constraint-based theories, and it is argued that constraint-based theories might offer a more elegant account of second language acquisition (SLA). Further evidence is reported to question the accuracy of Chierchia's (1998) Nominal Mapping Parameter.…

Presents a theory of inductive learning--Autonomous Induction Theory--a form of induction that takes place within the autonomous and modular representational systems of the language faculty. Argues that Autonomous Induction Theory is constrained enough to be taken seriously as a plausible approach to explaining second language acquisition.…

Raises a series of problems that attach to the standard analysis of input to learning as the stimulus array minus unattended-to information, where attention is construed as a selection function. Demonstrates the inadequacy of this distinction as the foundation for a theory of input in second-language acquisition. (Author/VWL)

Examines cognates (lexical items from different languages that are identified by bilinguals as being the same thing), arguing that the Cohort Model effectively explains cognate properties and that cognates should be defined in terms of their structural representations and the processes that activate and select them. (79 references) (Author/CB)

Criticizes the computer modelling experiments conducted by Sokolik and Smith (1992), which involved the learning of French gender attribution using connectionist architecture. The article argues that the experiments greatly oversimplified the complexity of gender learning, in that they were designed in such a way that knowledge that must be…