英语语料库与自动语法分析
正版保障 假一赔十 可开发票
￥ 12.31 3.2折 ￥ 38 全新
库存320件
广东广州
认证卖家担保交易快速发货售后保障
作者方称宇著
出版社商务印书馆
ISBN9787100056595
出版时间2007-11
装帧精装
开本16开
定价38元
货号3141989
上书时间2024-10-25
商品详情
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目录
Preface
前言
List of Figures
List of Tables
Abstract
1. Introduction
1.1. What is Parsing?
1.2. The Introspective View
1.3. The Retrospective View
1.4. Data-Oriented Parsing
1.5. General Problems
1.6. The Proposed Research
1.6.1. Background to the Proposed Research
1.6.2. The Basic Approach of the Proposed Research
1.6.3. The Strengths and Novelties of the Proposed Approach
1.6.3.1. Automated Grammar Generation
1.6.3.2. De-Lexicalised Terminal Nodes
1.6.3.3. Global Parse with Subcategorisation Features
1.6.3.4. High-Quality Partial Parse
1.6.3.5. Intrinsic Ability to Learn
1.7. The Organisation of the Book
2. The Automatic Analysis of English Word Classes
2.1. An Overview of Word Class Tagging
2.2. Major Word Class Tagging Schemes
2.2.1. The Lancaster-Oslo/Bergen Tagging Scheme
2.2.1.1. The Lancaster-Oslo-Bergen Corpus
2.2.1.2. The Lancaster-Oslo-Bergen Tag Set
2.2.1.3. Summary
2.2.2. The International Corpus of English Tagging Scheme
2.2.2.1. The International Corpus of English
2.2.2.2. The International Corpus of English Tag Set
2.2.3. A Comparison of LOB and ICE
2.3. Word Class Tagging Methodologies
2.3.1. The Rule-Based Approach
2.3.2. The Probabilistic Approach
2.4. AUTASYS: A Hybrid Tagging System
2.4.1. A Probabilistic Approach Using the LOB Tag Set
2.4.1.1. The Tag Assignment Module
2.4.1.1.1. Tokenisation
2.4.1.1.2. The treatment of"."
2.4.1.1.3. The treatment of""
2.4.1.1.4. Sentence boundary markers
2.4.1.2. Orthographic Analysis
2.4.1.3. Lexicon Lookup
2.4.1.3.1. The lexicon
2.4.1.3.2. The coverage of the lexicon
2.4.1.4. Morphological Analysis
2.4.2. The Idiom Identification Module
2.4.3. The Probabilistic Tag Selection Module
2.4.3.1. The Bigram Probabilistic Matrix
2.4.3.2. Implementing Probabilistic Tag Selection
2.4.4. The Rule-Based Refinement Module
2.4.5. Empirical Evaluation
2.4.6. Permissive AUTASYS-LOB Disagreements
2.4.6.1. NNP-NPT
2.4.6.2. JJ-JJB
2.4.6.3. NNP-NPL
2.4.6.4. RB-NN
2.4.7. Summary
2.5. A Rule-Based Approach towards LOB to ICE Translation
2.5.1. Solutions for Verbs
2.5.1.1. Auxiliary vs. Lexical
2.5.1.2. Monotransitive vs. Complex Transitive
2.5.1.3. Finite vs. Nonfinite
2.5.2. Closed Sets
2.5.3. Initial Results
2.5.4. Problems
2.5.5. Summary
3. The Automatic Induction of a Formal Grammar
4. Robust Practical Analogy-Based Parsing
5. Extensive Evaluations of the Survey Parser
6. The Resolution of Prepositional Phrases
7. Conclusions and Further Work
References
Appendix A: A List of LOB Tags
Appendix B: A List of ICE Tags
Appendix C: A List of AUTASYS Idioms
Appendix D: A List of ICE Parsing Symbols
Appendix E: A List of ICE Prepositions in Descending Frequency Order
Appendix F: A Distributional Profile of ICE-GB Prepositions
Index
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