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Connectionist Natural Language Processing

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Cover of 'Connectionist Natural Language Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Connectionism and Cognitive Linguistics
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    Chapter 2 A Connectionist Model of Motion and Government on Chomsky’s Government-binding Theory
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    Chapter 3 Syntactic Transformations on Distributed Representations
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    Chapter 4 Syntactic Neural Networks
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    Chapter 5 Incremental Syntactic Tree Formation in Human Sentence Processing: a Cognitive Architecture Based on Activation Decay and Simulated Annealing
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    Chapter 6 A Hybrid Symbolic/Connectionist Model for Noun Phrase Understanding
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    Chapter 7 Connectionism and Determinism in a Syntactic Parser
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    Chapter 8 A Single Layer Higher Order Neural Net and its Application to Context Free Grammar Recognition
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    Chapter 9 Connectionist Language Users
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    Chapter 10 Script Recognition with Hierarchical Feature Maps
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    Chapter 11 Learning Distributed Representations of Conceptual Knowledge and their Application to Script-based Story Processing
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    Chapter 12 A Hybrid Model of Script Generation: or Getting the Best from Both Worlds
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    Chapter 13 Identification of Topical Entities in Discourse: a Connectionist Approach to Attentional Mechanisms in Language
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    Chapter 14 The Role of Similarity in Hungarian Vowel Harmony: a Connectionist Account
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    Chapter 15 Representation and Recognition of Temporal Patterns
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    Chapter 16 Networks that Learn about Phonological Feature Persistence
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    Chapter 17 Pronunciation of Digit Sequences in Text-to-Speech Systems
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Title
Connectionist Natural Language Processing
Published by
Springer Netherlands, December 2012
DOI 10.1007/978-94-011-2624-3
ISBNs
978-9-40-105160-6, 978-9-40-112624-3
Editors

Sharkey, Noel

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 10%
Student > Master 3 10%
Researcher 2 6%
Lecturer 1 3%
Professor 1 3%
Other 0 0%
Unknown 21 68%
Readers by discipline Count As %
Computer Science 5 16%
Linguistics 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Psychology 1 3%
Engineering 1 3%
Other 0 0%
Unknown 21 68%