Meaning and Structure in Second Language Acquisition: In Honor of Roumyana Slabakova

This volume presents a range of studies testing some of the latest models and hypotheses in the field of second/third language acquisition, such as the Bottleneck Hypothesis (Slabakova, 2008, 2016), the Scalpel Model (Slabakova, 2017), and the Interface Hypothesis (Sorace & Serratrice, 2009) to name a few. The studies explore a variety of linguistic properties (e.g., functional morphology, linguistic properties at the syntax-discourse interface) by focusing on distinct populations (L2 acquisition, L3/LN acquisition, Heritage Speakers), while also considering the links between experimental linguistic research, generative linguistics, and, in some cases, language pedagogy. Dedicated to Roumyana Slabakova, each chapter can be directly linked to her work in terms of the empirical testing of extant hypotheses, the formulation of new models and ideas, and her efforts to advance the dialogue between different disciplines and frameworks. Overall, the contributions in the volume bear evidence of Slabakova’s enduring influence in the field as a collaborator, teacher, and researcher.

This book reviews recent research on the second language acquisition of meaning with a view of establishing whether there is a critical period for the acquisition of compositional semantics. A modular approach to language architecture is assumed. The book addresses the Critical Period Hypothesis by examining the positive side of language development: it demonstrates which modules of the grammar are easy to acquire and are not subject to age effects. The Bottleneck Hypothesis is proposed, which argues that inflectional morphology and its features present the most formidable challenge, while syntax and phrasal semantics pose less difficulty to learners. Findings from the neurofunctional imaging (PET, fMRI) and electrophysiology (ERPs) of L2 comprehension are reviewed and critically examined. Since it is argued that experimental tasks in those studies are mostly in need of linguistic refinement, evidence from behavioral studies of L2 acquisition of semantics are brought to bear on comprehension modeling. Learning situations are divided into two types: those presenting learners with complex syntax, but simple semantics; and those offering complex semantic mismatches in simple syntactic contexts. The numerous studies of both types reviewed in the book indicate that there is no barrier to ultimate success in the acquisition of phrasal semantics.

"This book reviews recent research on the second language acquisition of meaning with a view of establishing whether there is a critical period for the acquisition of compositional semantics. A modular approach to language architecture is assumed. The book addresses the Critical Period Hypothesis by examining the positive side of language development: it demonstrates which modules of the grammar are easy to acquire and are not subject to age effects. The Bottleneck Hypothesis is proposed, which argues that inflectional morphology and its features present the most formidable challenge, while syntax and phrasal semantics pose less difficulty. The numerous empirical studies reviewed in the book indicate that there is no critical period for acquisition of meaning. The findings suggest that an enhanced focus on practicing grammar in language classrooms will be beneficial to learners"--Provided by publisher Review text: "The valuable contribution of this monograph to the acquisition of meaning in a second language is timely after initial experimental studies have probed both complex semantics (e.g. Montrul and Slabakova, 2003) and simple semantics (e.g. Dekydtspotter, 2001). Slabakova's critical review and proposal of the Bottleneck Hypothesis will allow researchers to take stock of current developments in the field. This is a valuable contribution to the field of language acquisition and will be of significant interest to researchers and graduate students."Kevin McManus in: Linguist List 20.2378 The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis. Building on the success of the author's bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guid The R language is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply many statistical techniques that would be impossible without such software to help implement such large data sets