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Published in:
1999 | OriginalPaper | Chapter
The Use of the Maximum Likelihood Criterion in Language Modelling
Author : Hermann Ney
Published in: Computational Models of Speech Pattern Processing
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
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This paper gives an overview over the use of the maximum likelihood criterion in stochastic language modelling. This criterion and its associated estimation techniques provide a unifying framework for various approaches that seem very much unrelated and different at first glance, such as smoothing and cross-validation, decision trees (CART), word classes obtained by clustering, word trigger pairs and maximum entropy models.