Parameters of linguistic variation were originally conceived, within the Chomskyan Principles and Parameters Theory, as options determined by Universal Grammar (UG) and associated with grammatical principles, with a rich deductive structure. This characterization of parametric d…
An exploration of the main syntactic properties of Welsh, Roberts puts forward a general analysis of clause structure, agreement, case-marking & other phenomena. He also offers a comparative analysis of these phenomena in relation to other Celtic languages, Germanic & Romance la…
Linking recent advances in theoretical syntax and empirical research in language development, the book claims that second language acquisition is not totally distinct from first language acquisition, but rather is a replay, a relearning of language. It argues that Universal Gram…
Linking recent advances in theoretical syntax and empirical research in language development, the book claims that second language acquisition is not totally distinct from first language acquisition, but rather is a replay, a relearning of language. It argues that Universal Gram…
Machine generated contents note: Introduction: parameters in minimalist theory; 1. A deletion analysis of null subjects; 2. Null subject parameters; 3. Control into finite clauses in partial null-subject languages; 4. Semi null-subject languages, expletives and expletive pro rec…
"This book is a defence of the parametric approach to linguistic variation, set within the framework of the Minimalist Program. It discusses syntactic variation in the light of recent developments in linguistic theory, focusing in particular on issues such as the formal nature o…
Parametric variation in linguistic theory refers to the systematic grammatical variation permitted by the human language faculty. Although still widely assumed, the parametric theory of variation has in recent years been subject to re-evaluation and critique. The Null Subject Pa…
Numerical weather prediction models play an increasingly important role in meteorology, both in short- and medium-range forecasting and global climate change studies. The most important components of any numerical weather prediction model are the subgrid-scale parameterization s…
Numerical weather prediction models play an increasingly important role in meteorology, both in short- and medium-range forecasting and global climate change studies. The most important components of any numerical weather prediction model are the subgrid-scale parameterization …
Reference on numerical weather prediction for academic researchers, meteorologists, and graduate students.
