Teresa Satterfield

Christina Tortora

Diana Cresti

This book presents an enlightening collection of papers contributing to theoretical discussions across many topics within the study of Romance Languages and Linguistics. The work originates from the 29th Linguistic Symposium on Romance Languages held in 1999 at the University of Michigan-Ann Arbor, although only a small subpart of the proceedings papers are included in this volume. The selected papers have been reworked for the current publication.

Selected Papers from the 29th Linguistic Symposium on Romance Languages (LSRL), Ann Arbor, 8-11 April 1999

Current Issues in Romance Languages

Bilingual Selection of Syntactic Knowledge motivates a more formal approach in theoretical linguistics by investigating the parameters of syntactic variation and simultaneous acquisition of multiple languages. Taking the behavior of the Null Subject Parameter (NSP) across languages as an illustration, the book raises important questions concerning the adequacy of standard parameter-setting models in the face of compelling evidence from both mono- and bilingual child speech data. Teresa Satterfield argues convincingly that so-called `universal' premises guiding well-known parametric approaches greatly complicate attempts to construct an economical bilingual analysis. Further, she demonstrates the compatibility of more recent formulations in linguistic theory (i.e. the Minimalist Program) and studies on language learnability (Clark, 1992, 1993; Kapur, 1994) which present the view that while initially convincing, standard parameter models are potentially costly and less than effective in terms of monolinguals as well. Using Clark's application of the Genetic Algorithm as a point of departure, Bilingual Selection of Syntactic Knowledge describes a number of computational simulations. These simulations not only demonstrate the robustness of the GA-as-language-learner, they offer a more detailed account of the parameter-setting task confronting the bilingual child while also making more precise predictions regarding the process of syntactic knowledge.

Teresa Satterfield

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