Chapter 1 Connectionism and Cognitive Linguistics

Chapter 2 A Connectionist Model of Motion and Government on Chomsky’s Government-binding Theory

Chapter 3 Syntactic Transformations on Distributed Representations

Chapter 4 Syntactic Neural Networks

Chapter 5 Incremental Syntactic Tree Formation in Human Sentence Processing: a Cognitive Architecture Based on Activation Decay and Simulated Annealing

Chapter 6 A Hybrid Symbolic/Connectionist Model for Noun Phrase Understanding

Chapter 7 Connectionism and Determinism in a Syntactic Parser

Chapter 8 A Single Layer Higher Order Neural Net and its Application to Context Free Grammar Recognition

Chapter 9 Connectionist Language Users

Chapter 10 Script Recognition with Hierarchical Feature Maps

Chapter 11 Learning Distributed Representations of Conceptual Knowledge and their Application to Script-based Story Processing

Chapter 12 A Hybrid Model of Script Generation: or Getting the Best from Both Worlds

Chapter 13 Identification of Topical Entities in Discourse: a Connectionist Approach to Attentional Mechanisms in Language

Chapter 14 The Role of Similarity in Hungarian Vowel Harmony: a Connectionist Account

Chapter 15 Representation and Recognition of Temporal Patterns

Chapter 16 Networks that Learn about Phonological Feature Persistence

Chapter 17 Pronunciation of Digit Sequences in Text-to-Speech Systems