Natural Language Processing and Information Retrieval

Overview

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. The book attempts to bridge the gap between theory and practice and would also serve as a useful reference for professionals and researchers working on language-related projects.

Integrating two rapidly developing and popular research fields of language ...

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Overview

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. The book attempts to bridge the gap between theory and practice and would also serve as a useful reference for professionals and researchers working on language-related projects.

Integrating two rapidly developing and popular research fields of language processing and information retrieval, the book provides an extensive coverage of various concepts and widely used techniques in these areas. 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, and Urdu. 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.

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Product Details

  • ISBN-13: 9780195692327
  • Publisher: Oxford University Press, USA
  • Publication date: 7/15/2008
  • Pages: 656
  • Product dimensions: 2.60 (w) x 2.30 (h) x 0.40 (d)

Meet the Author

Uma Shanker Tiwary, currently a faculty member at International Institute of Information Technology, Allahabad, has over 20 years of experience in teaching and research. A PhD in electronics from BHU, Varanasi, he has published several research papers in conference proceedings as well as journals of national and international repute. During the course of his career, Dr Tiwary has undertaken teaching assignments at Gwangju Institute of Science and Technology (GIST), South Korea as well as a number of research projects sponsored by agencies such as MHRD and AICTE.

Tanveer Siddiqui, also a faculty member at International Institute of Information Technology, Allahabad, did her PhD in intelligent techniques for effective information retrieval and has over eight years of teaching experience.

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Table of Contents

1 Introduction

2 Language Modelling

3 Word level Analysis

4 Syntactic Analysis

5 Semantic Analysis

6 Discourse Context and World Knowledge

7 Language Generation

8 Machine Translation

9 Information Retrieval I

10 Information Retrieval II

11 Other Applications

12 Lexical Resources

App. A Penn Treebank Tagset

App. B Porter Stemmer

App. C Conceptual Relations (Conrels)

App. D Knowledge-Representation Formalism

Index

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