Computational Cognitive Modeling and Linguistic Theory
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 prov...
Autores principales: | , |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Cham :
Springer Nature
2020
2020. |
Edición: | 1st ed. 2020. |
Colección: | Language, Cognition, and Mind,
6 |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009437769206719 |
Tabla de Contenidos:
- 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 & 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.