- Linguistic Units in Language Acquisition
- The Adaptive Approach to Grammar
- The Cartography of Syntactic Structures
- Categorial Grammar
- Cognitive Grammar
- Embodied Construction Grammar
- Sign-Based Construction Grammar
- Conversation Analysis
- Corpus-Based and Corpus-Driven Analyses of Language Variation and Use
- Dependency Grammar and Valency Theory
- An Emergentist Approach to Syntax
- Framework-Free Grammatical Theory
- Functional Discourse Grammar
- Systemic Functional Grammar and the Study of Meaning
- Lexical-Functional Grammar
- Grammaticalization and Linguistic Analysis
- Linguistic Minimalism
- Morphological Analysis
- Neurolinguistics: A Cooperative Computation Perspective
- Experimental Phonetics
- Phonological Analysis
- Optimality Theory in Phonology
- Optimization Principles in the Typology of Number and Articles
- The Parallel Architecture and its Place in Cognitive Science
- Neo-Gricean Pragmatic Theory of Conversational Implicature
- Relevance Theory
- Probabilistic Linguistics
- Linguistic Relativity
- Role and Reference Grammar as a Framework for Linguistic Analysis
- Default Semantics
- Experimental Semantics
- A frames Approach to Semantic Analysis
- The Natural Semantic Metalanguage Approach
- The Analysis of Signed Languages
- Simpler Syntax
- Distributional Typology: Statistical Inquiries into the Dynamics of Linguistic Diversity
- Formal Generative Typology
- Usage-Based Theory
- Word Grammar
Abstract and Keywords
This chapter outlines an explicitly neural theory of language and a construction grammar formalism based on this theory. The formalism, ECG, combines deep insights from cognitive linguistics with advanced techniques of neural computation. We illustrate the theory and the formalism with detailed, automatically generated semantic analyses of several related examples.
Jerome A. Feldman is a Professor of Computer Science and Cognitive Science at the University of California and a research scientist at the International Computer Science Institute in Berkeley. He received the Ph.D. from Carnegie-Mellon in 1964 and previously taught at Stanford and Rochester.
Ellen K. Dodge is a Ph.D. candidate in Linguistics at the University of California, Berkeley. Her main area of research is in cognitive linguistics, and includes work on image schemas, meaning representation, construction grammar, and compositionality.
John Bryant is a researcher at the International Computer Science Institute. He received his Ph.D. in computer science at the University of California at Berkeley in 2008. His research investigates precise, cognitively motivated implementations of language interpretation using constructions.
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