Connectionist Natural Language Processing (Book)

Edited by Noel E. Sharkey

Connectionism is a new information-processing paradigm which attempts to imitate the architecture and process of the brain and brings together researchers from disciplines as diverse as Computer Science, Physics, Psychology, Linguistics, Biology, Engineering, Neuroscience and AI. Work in Connectionist Natural Language Processing (CNLP) is now expanding rapidly. In order to make this research more accessible this book brings together an important and comprehensive set of articles from the journal Connection Science which represent the state of the art Connectionist Natural Language Processing; from speech recognition to discourse comprehension. 

Edition

Preface  V
Dedication  V
Introduction  vi


1  Connectionism and Cognitive Linguistics  1

Catherine L Harris


2  A Connectionist Model of Motion and Government on Chomsky's Government-binding Theory  28

John Rager & George Berg


3  Syntactic Transformations on Distributed Representations  46 

David J Chalmers


4  Syntactic Neural Networks  56

S M Lucas & R I Damper


5  Incremental Syntactic Tree Formation in Human Sentence Processing: a Cognitive Architecture Based
on Activation Decay and Simulated Annealing  83 


Gerard Kempen & Theo Vosse


6  A Hybrid Symbolic/Connectionist Model for Noun Phrase Understanding  101

Stefan Wermter & Wendy G Lehnert


7  Connectionism and Determinism in a Syntactic Parser  119

Stan C Kwasny & Kanaan A Faisal


8  A Single Layer Higher Order Neural Net and its Application to Context Free Grammar Recognition  139


Peter J Wyard & Charles Nightingale

9  Connectionist Language Users  163

Robert B Allen


10  Script Recognition with Hierarchical Feature Maps  196

Risto Miikkulainen


11  Learning Distributed Representations of Conceptual Knowledge and their Application to Script-based Story Processing  215

Guenbee Lee, Margot Flowers & Michael Dyer


12  A Hybrid Model of Script Generation: or Getting the Best from Both Worlds  248


Suzanne M Mannes & Stephanie M Doane


13  Identification of Topical Entities in Discourse: a Connectionist Approach to Attentional Mechanisms in Language  275

Lorraine F R Karen


14  The Role of Similarity in Hungarian Vowel Harmony: a Connectionist Account  295

Mary Hare


15  Representation and Recognition of Temporal Patterns  323

Robert F Port


16  Networks that Learn about Phonological Feature Persistence  349

Michael Gasser & Chan-Do Lee


17  Pronunciation of Digit Sequences in Text-to-Speech Systems  363

WA Ainsworth & NP Warren


Index  372

 

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