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Natural Language Processing: The PLNLP Approach

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Cover of 'Natural Language Processing: The PLNLP Approach'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Towards Transductive Linguistics
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    Chapter 3 PEG: The PLNLP English Grammar
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    Chapter 4 Experience with an Easily Computed Metric for Ranking Alternative Parses
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    Chapter 5 Parse Fitting and Prose Fixing
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    Chapter 6 Grammar Errors and Style Weaknesses in a Text-Critiquing System
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    Chapter 7 The Experience of Developing a Large-Scale Natural Language Processing System: Critique
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    Chapter 8 A Prototype English-Japanese Machine Translation System
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    Chapter 9 Broad-Coverage Machine Translation
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    Chapter 10 Building a Knowledge Base from Parsed Definitions
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    Chapter 11 A Semantic Expert Using an Online Standard Dictionary
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    Chapter 12 Structural Patterns versus String Patterns for Extracting Semantic Information from Dictionaries
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    Chapter 13 SENS: The System for Evaluating Noun Sequences
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    Chapter 14 Disambiguating and Interpreting Verb Definitions
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    Chapter 15 Tailoring a Broad-Coverage System for the Analysis of Dictionary Definitions
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    Chapter 16 PEGASUS: Deriving Argument Structures after Syntax
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    Chapter 17 A Two-Stage Algorithm to Parse Multi-Lingual Argument Structures
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    Chapter 18 C-SHALT: English-to-Chinese Machine Translation Using Argument Structures
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    Chapter 19 Sense Disambiguation Using Online Dictionaries
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    Chapter 20 Word-Sense Disambiguation by Examples
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    Chapter 21 Normalization of Semantic Graphs
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    Chapter 22 The Paragraph as a Semantic Unit
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Title
Natural Language Processing: The PLNLP Approach
Published by
Springer US, December 2012
DOI 10.1007/978-1-4615-3170-8
ISBNs
978-0-7923-9279-8, 978-1-4615-3170-8
Editors

Jensen, Karen, Heidorn, George E., Richardson, Stephen D.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 14%
Austria 1 7%
Unknown 11 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 29%
Student > Ph. D. Student 4 29%
Lecturer 2 14%
Professor > Associate Professor 2 14%
Professor 1 7%
Other 1 7%
Readers by discipline Count As %
Computer Science 11 79%
Unspecified 2 14%
Engineering 1 7%