MARC details
| 000 -LEADER |
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| fixed length control field |
03844cam a22002657a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20220901171129.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220901b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780195692327 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
0195692322 |
| 040 ## - CATALOGING SOURCE |
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| Transcribing agency |
CUS |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.35 |
| Item number |
SID/N |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Siddiqui, Tanveer |
| 9 (RLIN) |
12701 |
| 245 10 - TITLE STATEMENT |
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| Title |
Natural Language Processing and Information Retrieval |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc. |
New Delhi ; |
| -- |
New York : |
| Name of publisher, distributor, etc. |
Oxford Univ Press, |
| Date of publication, distribution, etc. |
c2008. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
ix, 406 p. : |
| Other physical details |
ill. ; |
| Dimensions |
25 cm. |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
1. Introduction<br/>Chapter Overview 7<br/>1.1 What is Natural Language Processing (NLP) 7<br/>1.2 Origins of NLP 2<br/>1.3 Language and Knowledge 3<br/>1.4 The Challenges of NLP ^<br/>1.5 Language and Grammar 3<br/>1.6 Processing Indian Languages 72<br/>1.7 NLP Applications 13<br/>1.8 Some Successful Early NLP Systems 75<br/>1.9 Information Retrieval 16<br/>2. Language Modelling<br/>Chapter Overview 27<br/>2.1 Introduction 27<br/>2.2 Various Grammar-based Language Models 22<br/>2.3 Statistical Language Model 45<br/>3. Word Level Analysis<br/>Chapter Overview 53<br/>3.1 Introduction 53<br/>3.2 Regular Expressions 54<br/>3.3 Finite-State Automata 59<br/>3.4 Morphological Parsing 63<br/>3.5 Spelling Error Detection and Correction 77<br/>3.6 Words and Word Classes 76<br/>3.7 Part-of-Speech Tagging 77<br/>4. Syntactic Analysis<br/>Chapter Overview 92<br/>4.1 Introduction 92<br/>4.2 Context-Free Grammar 93<br/>4.3 Constituency 95<br/>4.4 Parsing 104<br/>4.5 Probabilistic Parsing 119<br/>4.6 Indian Languages 725<br/>5. Semantic Analysis<br/>Chapter Overview 132<br/>5.1 Introduction 132<br/>5.2 Meaning Representation 134<br/>5.3 Lexical Semantics 145<br/>5.4 Ambiguity 151<br/>5.5 Word Sense Disambiguation 156<br/>6. Discourse Processing<br/>Chapter Overview 7 79<br/>6.1 Introduction 179<br/>6.2 Cohesion 181<br/>6.3 Reference Resolution 185<br/>6.4 Discourse Coherence and Structure 196<br/>7. Natural Language Generation<br/>Chapter Overview 209<br/>7.1 Introduction 209<br/>7.2 Architectures of NLG Systems 270<br/>7.3 Generation Tasks and Representations 213<br/>7.4 Applications of NLG 223<br/>8. Machine Translation<br/>Chapter Overview 228<br/>8.1 Introduction 228<br/>8.2 Problems in Machine Translation 229<br/>8.3 Characteristics of Indian Languages 230<br/>8.4 Machine Translation Approaches 257<br/>8.5 Direct Machine Translation 252<br/>8.6 Rule-based Machine Translation 236<br/>8.7 Corpus-based Machine Translation 241<br/>8.8 Semantic or Knowledge-based MT systems 249<br/>8.9 Translation involving Indian Languages 250<br/>9. Information Retrieval-1<br/>Chapter Overview 255<br/>9.1 Introduction 255<br/>9.2 Design Features of Information Retrieval systems 256<br/>9.3 Information Retrieval Models 261<br/>9.4 ClEissical Information Retrieval Models 262<br/>9.5 Non-classical models of IR 274<br/>9.6 Alternative Models of IR 275<br/>9.7 Evaluation of the IR System 283<br/>10. Information Retrieval-2<br/>Chapter Overview 300<br/>10.1 Introduction 300<br/>10.2 Natural Language Processing in IR 301<br/>10.3 Relation Matching 304<br/>10.4 Knowledge-based Approaches 305<br/>10.5 Conceptual Graphs in IR 307<br/>10.6 Cross-lingual Information Retrieval 328<br/>11. Other Applications<br/>Chapter Overview 336<br/>11.1 Introduction 336<br/>11.2 Information Extraction 337<br/>11.3 Automatic Text Summarization 343<br/>11.4 Question-Answering System 358<br/>12. Lexical Resources<br/>Chapter Overview 371<br/>12.1 Introduction 371<br/>12.2 WordNet 372<br/>12.3 FrameNet 376<br/>12.4 Stemmers 378<br/>12.5 Part-of-Speech Tagger 379<br/>12.6 Research Corpora 383<br/>12.7 Journals and Conferences in the Area 385 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Natural language processing (Computer science) |
| 9 (RLIN) |
12702 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computational linguistics. |
| 9 (RLIN) |
12703 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Information retrieval. |
| 9 (RLIN) |
12704 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| 9 (RLIN) |
12705 |
| Personal name |
Tiwary, U.S. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="https://www.youtube.com/watch?v=X5GvBh4qY0s">https://www.youtube.com/watch?v=X5GvBh4qY0s</a> |
| Link text |
NPTEL Natural Language Processing Lecture |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="https://www.youtube.com/watch?v=n25JjoixM3I&list=PLLssT5z_DsK8BdawOVCCaTCO99Ya58ryR">https://www.youtube.com/watch?v=n25JjoixM3I&list=PLLssT5z_DsK8BdawOVCCaTCO99Ya58ryR</a> |
| Link text |
University of Michigan Artificial Intelligence Lecture |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
GN Books |
| Source of classification or shelving scheme |
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