Natural Language Processing & Information Retrieval
Price: 995.00 INR
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ISBN:
9780195692327
Publication date:
07/04/2008
Paperback
416 pages
Price: 995.00 INR
We sell our titles through other companies
Disclaimer :You will be redirected to a third party website.The sole responsibility of supplies, condition of the product, availability of stock, date of delivery, mode of payment will be as promised by the said third party only. Prices and specifications may vary from the OUP India site.
ISBN:
9780195692327
Publication date:
07/04/2008
Paperback
416 pages
Natural Language Processing and Information Retrieval is a textbook designed to meet the requirements of engineering students pursuing undergraduate and postgraduate programs in computer science and information technology.
Suitable for: Natural Language Processing and Information Retrieval is a textbook designed to meet the requirements of engineering students pursuing undergraduate and postgraduate programs in computer science and information technology.
Rights: World Rights
Description
Natural Language Processing and Information Retrieval is a textbook designed to meet the requirements of engineering students pursuing undergraduate and postgraduate programs in computer science and information technology.
By integrating the two rapidly developing and popular research fields of language processing and information retrieval, this book not only provides an extensive coverage of various concepts and widely used techniques in these areas but also attempts to bridge the gap between theory and practice. The text includes topics such as language modeling, lexical analysis, computational modeling, grammar and parsing, and semantic as well as knowledge-based analysis. The statistical and semantic approaches are explained with examples from Hindi, English, Urdu, Tamil and Telegu. Besides presenting traditional applications of machine translation and natural language generation, the book discusses recent trends and practices of information retrieval, text summarization, and information extraction in sufficient detail. Written in easy-to-understand and student-friendly style, the textbook also provides ample practical applications based on hands-on research experience wherever appropriate and would also serve as a useful reference for professionals and researchers working on language-related projects.
Table of contents
Chapter 1. Language Modelling
Chapter 2. Word Level Analysis
Chapter 3. Syntactic Analysis
Chapter 4. Semantic Analysis
Chapter 5. Discourse Context and World Knowledge
Chapter 6. Natural Language Generation
Chapter 7. Machine Translation
Chapter 8. Information Retrieval-I
Chapter 9. Information Retrieval-II
Chapter 10. Other Applications
Features
- Focuses on both statistical and semantic approaches
- Illustrates concepts with examples from Indian languages
- Provides coverage on recent applications such as information extraction and text summarization
- Includes a chapter on available lexical resources
Description
Natural Language Processing and Information Retrieval is a textbook designed to meet the requirements of engineering students pursuing undergraduate and postgraduate programs in computer science and information technology.
By integrating the two rapidly developing and popular research fields of language processing and information retrieval, this book not only provides an extensive coverage of various concepts and widely used techniques in these areas but also attempts to bridge the gap between theory and practice. The text includes topics such as language modeling, lexical analysis, computational modeling, grammar and parsing, and semantic as well as knowledge-based analysis. The statistical and semantic approaches are explained with examples from Hindi, English, Urdu, Tamil and Telegu. Besides presenting traditional applications of machine translation and natural language generation, the book discusses recent trends and practices of information retrieval, text summarization, and information extraction in sufficient detail. Written in easy-to-understand and student-friendly style, the textbook also provides ample practical applications based on hands-on research experience wherever appropriate and would also serve as a useful reference for professionals and researchers working on language-related projects.
Read MoreTable of contents
Chapter 1. Language Modelling
Chapter 2. Word Level Analysis
Chapter 3. Syntactic Analysis
Chapter 4. Semantic Analysis
Chapter 5. Discourse Context and World Knowledge
Chapter 6. Natural Language Generation
Chapter 7. Machine Translation
Chapter 8. Information Retrieval-I
Chapter 9. Information Retrieval-II
Chapter 10. Other Applications
