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Language Modeling for Information Retrieval
. Ed(S): Croft, W. Bruce; Lafferty, John
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Description for Language Modeling for Information Retrieval
Hardback. Contains a collection of papers addressing developments in the design of information retrieval systems using language modeling techniques. This book is primarily for researchers and advanced graduate students working in the language technologies areas of computer science or information science. Editor(s): Croft, W. Bruce; Lafferty, John. Series: The Information Retrieval Series. Num Pages: 246 pages, biography. BIC Classification: UN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 15. Weight in Grams: 548.
A statisticallanguage model, or more simply a language model, is a prob abilistic mechanism for generating text. Such adefinition is general enough to include an endless variety of schemes. However, a distinction should be made between generative models, which can in principle be used to synthesize artificial text, and discriminative techniques to classify text into predefined cat egories. The first statisticallanguage modeler was Claude Shannon. In exploring the application of his newly founded theory of information to human language, Shannon considered language as a statistical source, and measured how weH simple n-gram models predicted or, equivalently, compressed natural text. To ... Read more
A statisticallanguage model, or more simply a language model, is a prob abilistic mechanism for generating text. Such adefinition is general enough to include an endless variety of schemes. However, a distinction should be made between generative models, which can in principle be used to synthesize artificial text, and discriminative techniques to classify text into predefined cat egories. The first statisticallanguage modeler was Claude Shannon. In exploring the application of his newly founded theory of information to human language, Shannon considered language as a statistical source, and measured how weH simple n-gram models predicted or, equivalently, compressed natural text. To ... Read more
Product Details
Format
Hardback
Publication date
2003
Publisher
Kluwer Academic Publishers United States
Number of pages
246
Condition
New
Series
The Information Retrieval Series
Number of Pages
246
Place of Publication
New York, NY, United States
ISBN
9781402012167
SKU
V9781402012167
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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