
- 206 pages
- English
- PDF
- Available on iOS & Android
Computational Model Of First Language Acquisition, A
About this book
This book describes a study on the question of what sort of innate knowledge it is that enables children to acquire a first language. The author, using a computational approach, builds a model, named BUD (Bring Up a Daughter), on the basis of the data linguists and psychologists have collected.BUD is based on the empirists, view of first language acquisition (as opposed to that of the nativists'), that children make a number of rules in acquiring a first language and that over generalizations can be found in the acquisition of every aspect of a language. Thus, BUD has no built-in procedure by which it computes the structures of a language. A detailed description of the BUD model and its workings answers the question on which the study is based.
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Table of contents
- Table of Contents
- Preface
- CHAPTER 1 INTRODUCTION
- CHAPTER 2 PHENOMENA IN LANGUAGE ACQUISITION AND PRIMARY DATA
- CHAPTER 3 LEARNABILITY THEORY
- CHAPTER 4 BUD AND OTHER COMPUTATIONAL MODELS
- CHAPTER 5 THE WHOLE CONSTITUTION OF BUD
- CHAPTER 6 BUD'S CATEGORY FORMATION/INTEGRATION/DISRUPTION MECHANISM
- CHAPTER 7 COMPARISON BETWEEN LANGUAGE PHENOMENA AND BUD'S BEHAVIO
- CHAPTER 8 ORDER MODE AND PRODUCTION MODE
- CHAPTER 9 FINAL REMARKS
- REFERENCES
- AUTHOR INDEX
- SUBJECT INDEX