Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling,
text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others.
The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora
resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in
related industries.
Author(s): Ruslan Mitkov (editor)
Series: Oxford Handbooks
Edition: 2
Publisher: Oxford University Press
Year: 2022
Language: English
Commentary: Vector PDF
Pages: 1392
City: Oxford, UK
Tags: Natural Language Processing; Linguistics
Cover
Series
The Oxford Handbook of Computational Linguistics
Copyright
Contents
Preface
List of Abbreviations
The Contributors
Part I. Linguistic Fundamentals
1. Phonology
2. Morphology
3. Lexis
4. Syntax
5. Semantics
6. Discourse
7. Pragmatics
8. Dialogue
Part II. Computational Fundamentals: Methods and Resources
9. Mathematical Foundations: Formal Grammars and Languages
10. Finite-State Technology
11. Statistical Methods: Fundamentals
12. Statistical Models for Natural Language Processing
13. Machine Learning
14. Word Representation
15. Deep Learning
16. Similarity
17. Evaluation
18. Sublanguages and Controlled Languages
19. Lexicography
20. Corpora
21. Corpus Annotation
22. Ontologies
Part III. Language Processing Tasks
23. Text Segmentation
24. Part-of-Speech Tagging
25. Parsing
26. Semantic Role Labelling
27. Word Sense Disambiguation
28. Computational Treatment of Multiword Expressions
29. Textual Entailment
30. Anaphora Resolution
31. Temporal Processing
32. Natural Language Generation
33. Speech Recognition
34. Text-to-Speech Synthesis
Part IV. NLP Applications
35. Machine Translation
36. Translation Technology
37. Information Retrieval
38. Information Extraction
39. Question Answering
40. Text Summarization
41. Term Extraction
42. Web Text Mining
43. Opinion Mining and Sentiment Analysis
44. Spoken Language Dialogue Systems
45. Multimodal Systems
46. Automated Writing Assistance
47. Text Simplification
48. Natural Language Processing for Biomedical Texts
49. Author Profiling and Related Applications
50. Recent Developments in Natural Language Processing
Glossary
Index
