Book description
Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience.
Part I introduces the core concepts and theoretical foundations of modern multilingual natural language processing, presenting today’s best practices for understanding word and document structure, analyzing syntax, modeling language, recognizing entailment, and detecting redundancy.
Part II thoroughly addresses the practical considerations associated with building real-world applications, including information extraction, machine translation, information retrieval/search, summarization, question answering, distillation, processing pipelines, and more.
This book contains important new contributions from leading researchers at IBM, Google, Microsoft, Thomson Reuters, BBN, CMU, University of Edinburgh, University of Washington, University of North Texas, and others.
Coverage includes
Core NLP problems, and today’s best algorithms for attacking them
Processing the diverse morphologies present in the world’s languages
Uncovering syntactical structure, parsing semantics, using semantic role labeling, and scoring grammaticality
Recognizing inferences, subjectivity, and opinion polarity
Managing key algorithmic and design tradeoffs in real-world applications
Extracting information via mention detection, coreference resolution, and events
Building large-scale systems for machine translation, information retrieval, and summarization
Answering complex questions through distillation and other advanced techniques
Creating dialog systems that leverage advances in speech recognition, synthesis, and dialog management
Constructing common infrastructure for multiple multilingual text processing applications
This book will be invaluable for all engineers, software developers, researchers, and graduate students who want to process large quantities of text in multiple languages, in any environment: government, corporate, or academic.
Table of contents
- Title Page
- Copyright Page
- Register Your Book
- Dedication
- Contents
- Preface
- Acknowledgments
- About the Authors
- Part I. In Theory
-
Part II. In Practice
- Chapter 8. Entity Detection and Tracking
-
Chapter 9. Relations and Events
- 9.1. Introduction
- 9.2. Relations and Events
- 9.3. Types of Relations
- 9.4. Relation Extraction as Classification
- 9.5. Other Approaches to Relation Extraction
- 9.6. Events
- 9.7. Event Extraction Approaches
- 9.8. Moving Beyond the Sentence
- 9.9. Event Matching
- 9.10. Future Directions for Event Extraction
- 9.11. Summary
- Bibliography
- Chapter 10. Machine Translation
- Chapter 11. Multilingual Information Retrieval
- Chapter 12. Multilingual Automatic Summarization
-
Chapter 13. Question Answering
- 13.1. Introduction and History
- 13.2. Architectures
- 13.3. Source Acquisition and Preprocessing
- 13.4. Question Analysis
- 13.5. Search and Candidate Extraction
- 13.6. Answer Scoring
- 13.7. Crosslingual Question Answering
- 13.8. A Case Study
- 13.9. Evaluation
- 13.10. Current and Future Challenges
- 13.11. Summary and Further Reading
- Acknowledgments
- Bibliography
- Chapter 14. Distillation
-
Chapter 15. Spoken Dialog Systems
- 15.1. Introduction
- 15.2. Spoken Dialog Systems
- 15.3. Forms of Dialog
- 15.4. Natural Language Call Routing
- 15.5. Three Generations of Dialog Applications
- 15.6. Continuous Improvement Cycle
- 15.7. Transcription and Annotation of Utterances
- 15.8. Localization of Spoken Dialog Systems
- 15.9. Summary
- Bibliography
- Chapter 16. Combining Natural Language Processing Engines
- Index
Product information
- Title: Multilingual Natural Language Processing Applications: From Theory to Practice
- Author(s):
- Release date: May 2012
- Publisher(s): IBM Press
- ISBN: 9780137047833
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