Connectionist Natural Language Processing : Readings from "Connection Science"

By: N. E. Sharkey (Editor)

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Connection science 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, philosophy, linguistics, biology, engineering, neuroscience and AI. Work in Connectionist Natural Language Processing (CNLP) is now expanding rapidly, yet much of the work is still only available in journals, some of them quite obscure. 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 in Connectionist natural language processing; from speech recognition to discourse comprehension. While it is quintessentially Connectionist, it also deals with hybrid systems, and will be of interest to both theoreticians as well as computer modellers. Range of topics covered: Connectionism and Cognitive Linguistics Motion, Chomsky's Government-binding Theory Syntactic Transformations on Distributed Representations Syntactic Neural Networks A Hybrid Symbolic/Connectionist Model for Understanding of Nouns Connectionism and Determinism in a Syntactic Parser Context Free Grammar Recognition Script Recognition with Hierarchical Feature Maps Attention Mechanisms in Language Script-Based Story Processing A Connectionist Account of Similarity in Vowel Harmony Learning Distributed Representations Connectionist Language Users Representation and Recognition of Temporal Patterns A Hybrid Model of Script Generation Networks that Learn about Phonological Features Pronunciation in Text-to-Speech Systems

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Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Natural Language & Machine Translation Language & Linguistics Linguistics Science Physics

Preface
Dedication
Introduction
Connectionism and Cognitive Linguistics	p. 1
A Connectionist Model of Motion and Government on Chomsky's Government-binding Theory	p. 28
Syntactic Transformations on Distributed Representations	p. 46
Syntactic Neural Networks	p. 56
Incremental Syntactic Tree Formation in Human Sentence Processing: a Cognitive Architecture Based on Activation Decay and Simulated Annealing	p. 83
A Hybrid Symbolic/Connectionist Model for Noun Phrase Understanding	p. 101
Connectionism and Determinism in a Syntactic Parser	p. 119
A Single Layer Higher Order Neural Net and its Application to Context Free Grammar Recognition	p. 139
Connectionist Language Users	p. 163
Script Recognition with Hierarchical Feature Maps	p. 196
Learning Distributed Representations of Conceptual Knowledge and their Application to Script-based Story Processing	p. 215
A Hybrid Model of Script Generation: or Getting the Best from Both Worlds	p. 248
Identification of Topical Entities in Discourse: a Connectionist Approach to Attentional Mechanisms in Language	p. 275
The Role of Similarity in Hungarian Vowel Harmony: a Connectionist Account	p. 295
Representation and Recognition of Temporal Patterns	p. 323
Networks that Learn about Phonological Feature Persistence	p. 349
Pronunciation of Digit Sequences in Text-to-Speech Systems	p. 363
Index	p. 372
Table of Contents provided by Blackwell. All Rights Reserved.

Connectionist Natural Language Processing : Readings from "Connection Science"

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