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