- The Oxford Handbook of Construction Grammar
- The Oxford Handbook of construction Grammar
- Construction Grammar: Introduction
- Constructionist Approaches
- The Limits of (Construction) Grammar
- Usage-based Theory and Exemplar Representations of Constructions
- Constructions in the Parallel Architecture
- Data in Construction Grammar
- Berkeley Construction Grammar
- Sign-based Construction Grammar
- Fluid Construction Grammar
- Embodied Construction Grammar
- Cognitive Grammar
- Radical Construction Grammar
- Cognitive Construction Grammar
- Morphology in Construction Grammar
- Words and Idioms
- Collostructional Analysis
- Abstract Phrasal and Clausal Constructions
- Information Structure
- Construction Grammar and First Language Acquisition
- Construction Grammar and Second Language Acquisition
- Brain Basis of Meaning, Words, Constructions, and Grammar
- Principles of Constructional Change
- Construction- Based Historical-Comparative Reconstruction
- Corpus-based Approaches to Constructional Change
- Dialects, Discourse, and Construction Grammar
- Constructions in Cognitive Sociolinguistics
- General index
- Index of Constructions
Abstract and Keywords
This chapter focuses on Embodied Construction Grammar (ECG), another computational implementation of Construction Grammar. It points out that the driving question of this framework is how language is used in actual physical and social contexts, and explains that ECG is an attempt to computationally model the cognitive and neural mechanisms that underlie human linguistic behavior. The chapter evaluates the role of mental simulation in processing and outlines how language can be seen as in interface to simulation. It also shows how constructions are represented in ECG and describes an ECG-based model of language comprehension.
Benjamin Bergen (Ph.D. 2001, UC Berkeley) is Associate Professor in the Cognitive Science Department at the University of California, San Diego, where he directs the Language and Cognition Lab. His research focuses on language comprehension, production, and learning, and has appeared in journals such as Language, Cognitive Linguistics, Cognitive Science, Brain and Language, Memory and Cognition, and the Journal of Child Language. He is also the author of a forthcoming book on mental simulation and meaning, to be published by Basic Books.
Nancy Chang is a research scientist and current Google engineer in the Machine Intelligence group. She earned her PhD in Computer Science at UC Berkeley.
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