rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Computational Cognitive Modeling and Linguistic Theory
  name:
    name part: Brasoveanu, Adrian.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Dotlačil, Jakub.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2020
    edition: 1st ed. 2020.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XII, 294 pages 267 illustrations, 25 illustrations in color.)
  abstract: 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) .
  table of contents: Chapter 1. Introduction -- Chapter 2. The ACT-R cognitive architecture and its pyactr implementation -- Chapter 3. The basics of syntactic parsing in ACT-R -- Chapter 4. Syntax as a Cognitive Process: Left-corner parsing with visual and motor interfaces -- Chapter 5. Brief introduction to Bayesian methods and pymc3 for linguists -- Chapter 6. Modeling linguistic performance -- Chapter 7. Competence-performance models for lexical access and syntactic parsing -- Chapter 8. Semantics as a cognitive process I: Discourse Representation Structures in declarative memory -- Chapter 9. Semantics as a cognitive process II: Active search for cataphora antecedents and the semantics of conditionals -- Chapter 10. Future directions.
  note: by Adrian Brasoveanu, Jakub Dotlačil.
  note: Open Access
  subject:
    topic: Language and languages-Philosophy
  subject:
    topic: Psycholinguistics
  subject:
    topic: Semantics
  subject:
    topic: Philosophy of Language
  subject:
    topic: Psycholinguistics
  subject:
    topic: Semantics
  classification: P101-120
  classification: 149.94
  classification: 410.1
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Language, Cognition, and Mind, 6
  identifier: 9783030318468
  identifier: https://doi.org/10.1007/978-3-030-31846-8
  access condition: Open Access
  record info:
    record creation date: 200514
    record change date: 20230829014234.3
    record identifier: in00004382392