The Oxford Handbook of Computational Linguistics - Mitkov, Ruslan

Ruslan Mitkov 

The Oxford Handbook of Computational Linguistics

Ed. by Ruslan Mitkov
Broschiertes Buch
 
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The Oxford Handbook of Computational Linguistics

A state-of-the-art reference to one of the most active and productive fields in linguistics: computational linguistics. Thirty-eight chapters, commissioned from experts all over the world, describe the major concepts, methods, and applications. Part I provides an overview of the field; Part II describes current tasks, techniques, and tools in natural language processing; and Part III surveys current applications.

Thirty-eight chapters, comissioned from experts all over the world, describe major concepts, methods, and applications in computational linguistics. Part I, Linguistic Fundamentals, provides an overview of the field suitable for senior undergraduates and non-specialists from other fields of linguistics and related disciplines. Part II describes current tasks, techniques, and tools in Natural Language Processing and aims to meet the needs of post-doctoral workers and others embarking
on computational language research. Part III surveys current applications.
This book is a state-of-the-art reference to one of the most active and productive fields in linguistics. It will be of interest and practical use to a wide range of linguists, as well as to researchers in such fields as informatics, artificial intelligence, language engineering, and cognitive science.


Produktinformation

  • Abmessung: 247mm x 174mm x 41mm
  • Gewicht: 1395g
  • ISBN-13: 9780199276349
  • ISBN-10: 019927634X
  • Best.Nr.: 12840825
A highly stimulating and impressive book which should be found in every library and every linguistics department. I strongly recommend it. International Journal of Lexicography An excellent reference book that provides a wealth of information and enables the experienced reader to enter quickly into new subject areas of CL [computational linguistics] and NLP [natural language processing]... The particular strengths of the OHCL are the comprehensive computation-oriented discussion of the fundamental linguistic issues and the broad coverage of NLP methods and resources. It thus extensively accounts for the theoretical and methodological backgrounds of CL and NLP... The publisher should consider issuing a moderately priced student's edition to make the OHCL affordable to the wide audience it definitely deserves. Linguist List

A highly stimulating and impressive book which should be found in every library and every linguistics department. I strongly recommend it. International Journal of Lexicography
Ruslan Mitkov is Professor of Computational Linguistics and Language Engineering at the University of Wolverhampton and Research Professor at the Institute of Mathematics, Bulgarian Academy of Sciences. He has held research positions at CNRS; the University of Science Malaysia; the Korean Advanced Institute of Science; and the Universities of Hamburg and Saarland.

Inhaltsangabe

PART I: FUNDAMENTALS
1. Phonology
2. Morphology
3. Computational Lexicography
4. Syntax
5. Semantics
6. Discourse
7. Pragmatics and Dialogue
8. Formal Grammars and Languages
9. Complexity
PART II: PROCESSES, METHODS, AND RESOURCES
10. Text Segmentation
11. Part-of-Speech Tagging
12. Parsing
13. Word-Sense Disambiguation
14. Anaphora Resolution
15. Natural Language Generation
16. Speech Recognition
17. Text-to-Speech Synthesis
18. Finite-State Technology
19. Statistical Methods
20. Machine Learning
21. Lexical Knowledge Acquisition
22. Evaluation
23. Sublanguages and Controlled Languages
24. Corpora
25. Ontologies
26. Tree-Adjoining Grammars
PART III: APPLICATIONS
27. Machine Translation: General Overview
28. Machine Translation: Latest Developments
29. Information Retrieval
30. Information Extraction
31. Question Answering
32. Text Summarization
33. Term Extraction and Automatic Indexing
34. Text Data Mining
35. Natural Language Interaction
36. Natural Language in Multimodal and Multimedia Systems
37. Natural Language Processing in Computer-Aided Language Learning
38. Multilingual On-Line Natural Language Processing
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