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New Developments in Parsing Technology

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    Book Overview
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    Chapter 1 Developments in Parsing Technology: From Theory to Application
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    Chapter 2 Parameter Estimation for Statistical Parsing Models: Theory and Practice of Distribution-Free Methods
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    Chapter 3 High Precision Extraction of Grammatical Relations
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    Chapter 4 Automated Extraction of Tags from the Penn Treebank
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    Chapter 5 Computing the Most Probable Parse for a Discontinuous Phrase Structure Grammar
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    Chapter 6 A Neural Netword Parser that Handles Sparse Data
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    Chapter 7 An Efficient LR Parser Generator for Tree-Adjoining Grammars
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    Chapter 8 Relating Tabular Parsing Algorithms for LIG and TAG
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    Chapter 9 Improved Left-Corner Chart Parsing for Large Context-Free Grammars
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    Chapter 10 On Two Classes of Feature Paths in Large-Scale Unification Grammars
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    Chapter 11 A Context-Free Superset Approximation of Unification-Based Grammars
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    Chapter 12 A Recognizer for Minimalist Languages
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    Chapter 13 Range Concatenation Grammars
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    Chapter 14 Grammar Induction by MDL-Based Distributional Classification
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    Chapter 15 Optimal Ambiguity Packing in Context-Free Parsers with Interleaved Unification
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    Chapter 16 Robust Data Oriented Spoken Language Understanding
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    Chapter 17 Soup: A Parser for Real-World Spontaneous Speech
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    Chapter 18 Parsing and Hypergraphs
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    Chapter 19 Measure for Measure: Towards Increased Component Comparability and Exchange
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Title
New Developments in Parsing Technology
Published by
Springer Netherlands, January 2006
DOI 10.1007/1-4020-2295-6
ISBNs
978-1-4020-2295-1, 978-1-4020-2293-7
Editors

Bunt, Harry, Satta, Giorgio, Carroll, John