Book contents
- Morphological Diversity and Linguistic Cognition
- Morphological Diversity and Linguistic Cognition
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Preface
- Abbreviations
- 1 At the Intersection of Cognitive Processes and Linguistic Diversity
- Part I In What Ways Is Language Processing Tuned to the Morphological Structure of a Language?
- Part II What Role Does Cue Informativity Play in Learning and How the Lexicon Evolves Over Time?
- Part III How Do System-Level Principles of Morphological Organization Emerge?
- 8 Morphology Gets More and More Complex, Unless It Doesn’t
- 9 Network Structure and Inflection Class Predictability: Modeling the Emergence of Marginal Detraction
- 1 Introduction
- 2 A Graph-Theoretic Approach to Inflection Class Structure
- 3 Marginal Detraction: The Phenomenon to Be Modeled
- 4 An Iterated Bayesian Model of Inflection Class Learning
- 5 Model Results
- 6 Discussion
- 7 Conclusions
- Acknowledgments
- Appendix A. Regression Models on Natural Languages
- Appendix B. Regression Models on Output of Bayesian Model
- Appendix C. Summary Statistics for Output of Bayesian Model
- 10 Rule Combination, Potentiation, Affix Telescoping
- References
- Language Index
- General Index
Appendix B. - Regression Models on Output of Bayesian Model
from 9 - Network Structure and Inflection Class Predictability: Modeling the Emergence of Marginal Detraction
Published online by Cambridge University Press: 19 May 2022
Book contents
- Morphological Diversity and Linguistic Cognition
- Morphological Diversity and Linguistic Cognition
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Preface
- Abbreviations
- 1 At the Intersection of Cognitive Processes and Linguistic Diversity
- Part I In What Ways Is Language Processing Tuned to the Morphological Structure of a Language?
- Part II What Role Does Cue Informativity Play in Learning and How the Lexicon Evolves Over Time?
- Part III How Do System-Level Principles of Morphological Organization Emerge?
- 8 Morphology Gets More and More Complex, Unless It Doesn’t
- 9 Network Structure and Inflection Class Predictability: Modeling the Emergence of Marginal Detraction
- 1 Introduction
- 2 A Graph-Theoretic Approach to Inflection Class Structure
- 3 Marginal Detraction: The Phenomenon to Be Modeled
- 4 An Iterated Bayesian Model of Inflection Class Learning
- 5 Model Results
- 6 Discussion
- 7 Conclusions
- Acknowledgments
- Appendix A. Regression Models on Natural Languages
- Appendix B. Regression Models on Output of Bayesian Model
- Appendix C. Summary Statistics for Output of Bayesian Model
- 10 Rule Combination, Potentiation, Affix Telescoping
- References
- Language Index
- General Index
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- Morphological Diversity and Linguistic Cognition , pp. 278 - 279Publisher: Cambridge University PressPrint publication year: 2022