scholarly journals Statistical Language Models for Information Retrieval ChengXiang Zhai University of Illinois at Urbana Champaign Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst), volume 1, 2008; xiii+125 pp, Princeton, NJ; paperbound, ISBN 978-1-59829-590-0, $40.00; ebook, ISBN 978-1-59829-591-7, $30.00 or by subscription

2010 ◽  
Vol 36 (2) ◽  
pp. 279-281
Author(s):  
Eric Gaussier
Keyword(s):  
Information Retrieval ◽  
Language Models ◽  
Human Language ◽  
University Of Illinois ◽  
Statistical Language Models ◽  
Language Technologies

Statistical Modelling of Highly Inflective Languages

2011 ◽  
pp. 1467-1473 ◽  
Author(s):  
Mirjam Sepesy Maucec ◽  
Zdravko Kacic
Keyword(s):  
Information Retrieval ◽  
Speech Recognition ◽  
Machine Translation ◽  
Language Model ◽  
Statistical Modelling ◽  
Language Models ◽  
Modelling Language ◽  
Wide Range ◽  
Long Time ◽  
Statistical Language Models

A language model is a description of language. Although grammar has been the prevalent tool in modelling language for a long time, interest has recently shifted towards statistical modelling. This chapter refers to speech recognition experiments, although statistical language models are applicable over a wide-range of applications: machine translation, information retrieval, etc. Statistical modelling attempts to estimate the frequency of word sequences.

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