Termin realizacji zamówienia: ok. 16-18 dni roboczych.
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Data Representativity and Granularity in Spanish Syntax focuses on the dialogue between Generative Grammar, Variationism, and experimental linguistics with a unique emphasis on Spanish linguistics.
"This book enhances a dialogue between variationist studies, experimental linguistics and formal theorizing. The corresponding approaches or developments, unfortunately, have traditionally faced a relationship of mutual exclusion, rather than collaboration. It is high time for such a collaboration to take place, and Professor Ortega-Santos’ book is certainly at the forefront of it!"
Sandro Sessarego, Associate Professor of Linguistics in the Department of Spanish and Portuguese, The University of Texas at Austin, USA.
"This book explores the insurmountable breach between theoretical linguistics and other linguistic areas where data are crucial, namely, experimental linguistics and variation, by showing that the different methods of collecting data used in the different subdisciplines are reconcilable. Thought-provoking, challenging and novel, Ortega-Santos’s work succeeds to fill up a gap in the field by arguing for a crosspollination of data gathering (corpora, acceptability judgements, statistical analysis, etc.), applied to a specific theoretical issue such as subjecthood in Spanish. A must for linguists of a theoretical, experimental or variationist background alongside students of linguistics."
Ángel L. Jiménez-Fernández,Professor of English Linguistics, Universidad de Sevilla, Spain.
Chapter 1: Introduction
Chapter 2: Theoretical Syntax at the Crossroads: Acceptability Judgments on Trial
Chapter 3: Subjecthood across methodologies in Spanish: On the concept of syntactic evidence
Chapter 4: Microvariation and dialect distance in the null subject properties of Spanish: Dialectology, corpora, and introspective judgments
Iván Ortega-Santos is Professor of Spanish Linguistics in the Department of World Languages and Literatures and Faculty Affiliate at the Institute for Intelligent Systems at the University of Memphis, USA.