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CONTENTS
Series Foreword = ⅶ
Preface = ⅸ
Part Ⅰ: The Computer Model
  Chapter 1 Computation and Language Acquisition = 3
    The Acquisition Model is Simple = 10
    Constraints Make Learning Possible = 24
    Evaluating the Model = 38
    Summary of Key Ideas = 45
  Chapter 2 The Acquisition Model = 49
    The Initial State of Knowledge = 49
    The Target Grammar = 82
    The Input Data = 85
    The Acquisition Procedure = 102
    Appendix 1: The New Parser Design = 119
    Appendix 2: Target Grammar Rules = 129
  Chapter 3 Learning Phrase Structure = 139
    Learning To Parse a Simple Sentence = 140
    Prepositional Phrases and Verb Complements = 147
    Learning the Inflectional System = 160
    The Order of Examples = 173
  Chapter 4 Learning Transformations = 185
    Subject-Auxiliary Verb Inversion = 185
    Passive Constructions = 188
    Missing Subject Sentences = 194
    Simple Wh Questions = 201
    Some Miscellaneous Rules = 205
    Summary of Part Ⅰ = 210
Part Ⅱ: A Theory of Acquisition
  Chapter 5 Acquisition Complexity = 215
    Linguistic Theory and Acquisition Complexity = 216
    Disjunction and Positive-only Acquisition = 233
    The Subset Principle = 235
     X ? Theory and Phrase Structure Acquisition = 239
  Chapter 6 Learning Theory: Applications = 249
    Kean's Theory of Phonological Markedness = 250
    The M Constraint = 269
    The Subset Principle = 275
    Inductive Inference of the Auxiliary System = 298
    Summary = 308
  Chapter 7 Locality Principles and Acquisition = 311
    Formalizing the Marcus Parser = 313
    Two-stack Deterministic Parsing = 327
    Parsability and Learnability = 332
    LearnabUity, Parsability, and Locality = 339
References = 343
Index = 355