Authors:
Presents an introduction to ACT-R for linguists and semanticists, with a focus on semantic phenomena in natural language
Provides a novel incremental dynamic semantic system and detailed theory of semantic processing
Discusses original experimental data relevant for our understanding of natural language meaning and how it is constructed in real time
Part of the book series: Language, Cognition, and Mind (LCAM, volume 6)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science.
The approach of this book is novel in more ways than one. Assuming the mental architecture and procedural modalities of Anderson’s ACT-R framework, it presents fine-grained computational models of human language processing tasks which make detailed quantitative predictions that can be checked against the results of self-paced reading and other psycho-linguistic experiments. All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. But even for readers who won't do all that, the book will show how such detailed, quantitatively predicting modeling of linguistic processes is possible. A methodological breakthrough and a must for anyone concerned about the future of linguistics! (Hans Kamp)This book constitutes a major step forward in linguistics and psycholinguistics. It constitutes a unique synthesis of several different research traditions: computational models of psycholinguistic processes, and formal models of semantics and discourse processing. The work also introduces a sophisticated python-based software environment for modeling linguistic processes. This book has the potential to revolutionize not only formal models of linguistics, but also models of language processing more generally. (Shravan Vasishth)
Keywords
- Open Access
- ACT-R Based Left-corner Parser
- Incremental Dynamic Predicate Logic
- Cataphoric Presupposition Resolution
- Cognitive Aspects of Processing Semantic Representations
- Enriched Semantics
- Language Interpretation Processes
- Meaning Representations in Formal Semantics
- Natural Language Processing
- Processing Enriched Logical Forms
- Processing of Lexical Semantic and Syntactic Representations
- Psycholinguistics on Incremental Interpretation
- Real-time Construction of Syntactic Representations
- Real-time Semantic Interpretation
- Semantics and Processing
Authors and Affiliations
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University of California Santa Cruz, Santa Cruz, USA
Adrian Brasoveanu
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Utrecht University, Utrecht, The Netherlands
Jakub Dotlačil
Bibliographic Information
Book Title: Computational Cognitive Modeling and Linguistic Theory
Authors: Adrian Brasoveanu, Jakub Dotlačil
Series Title: Language, Cognition, and Mind
DOI: https://doi.org/10.1007/978-3-030-31846-8
Publisher: Springer Cham
eBook Packages: Religion and Philosophy, Philosophy and Religion (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2020
License: CC BY
Hardcover ISBN: 978-3-030-31844-4Published: 15 May 2020
eBook ISBN: 978-3-030-31846-8Published: 14 May 2020
Series ISSN: 2364-4109
Series E-ISSN: 2364-4117
Edition Number: 1
Number of Pages: XII, 294
Number of Illustrations: 242 b/w illustrations, 25 illustrations in colour
Topics: Philosophy of Language, Psycholinguistics and Cognitive Lingusitics, Semiotics