Language Modeling for Information Retrieval
Author:   W. Bruce Croft ,  John Lafferty
Publisher:   Springer
Edition:   Softcover reprint of hardcover 1st ed. 2003
Volume:   13
ISBN:  

9789048162635


Pages:   246
Publication Date:   06 December 2010
Format:   Paperback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Language Modeling for Information Retrieval


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Overview

This book contains the first collection of papers addressing recent developments in the design of information retrieval systems using language modeling techniques. Language modeling approaches are used in a variety of other language technologies, such as speech recognition and machine translation, and the book shows that applications such as Web search, cross-lingual search, filtering, and summarization can be described in the same formal framework. The book is intended primarily for researchers and advanced graduate students working in the language technologies areas of computer science or information science.

Full Product Details

Author:   W. Bruce Croft ,  John Lafferty
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of hardcover 1st ed. 2003
Volume:   13
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9789048162635


ISBN 10:   9048162637
Pages:   246
Publication Date:   06 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

1 Probabilistic Relevance Models Based on Document and Query Generation.- 2 Relevance Models in Information Retrieval.- 3 Language Modeling and Relevance.- 4 Contributions of Language Modeling to the Theory and Practice of IR.- 5 Language Models for Topic Tracking.- 6 A Probabilistic Approach to Term Translation for Cross-Lingual Retrieval.- 7 Using Compression-Based Language Models for Text Categorization.- 8 Applications of Score Distributions in Information Retrieval.- 9 An Unbiased Generative Model for Setting Dissemination Thresholds.- 10 Language Modeling Experiments in Non-Extractive Summarization.

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