May 2012
Beginner to intermediate
640 pages
21h 52m
English
book
Multilingual Natural Language Processing Applications: From Theory to Practice
by Daniel Bikel, Imed Zitouni
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Chapter 5. Language Modeling
Katrin Kirchhoff
5.1. Introduction
Many applications in human language technology involve the use of a statistical language model—a model that specifies the a priori probability of a particular word sequence in the language of interest. Given an alphabet or inventory of units Σ and a sequence W = w1w2 ...wt ∈ Σ∗, a language model can be used to compute the probability of W based on parameters previously estimated from a training set. Most commonly, the inventory Σ (also called vocabulary) is the list of unique words encountered in the training data; however, as we will see in this chapter, selecting the units over which a language model should be defined can be a rather difficult problem, particularly in languages ...
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