Titlebook: Bayesian Analysis in Natural Language Processing, Second Edition; Shay Cohen Book 2019Latest edition Springer Nature Switzerland AG 2019

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Preliminaries,This chapter is mainly intended to be used as a refresher on basic concepts in Probability and Statistics required for the full comprehension of this book. Occasionally, it also provides notation that will be used in subsequent chapters in this book.

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Bayesian Grammar Models,One of the most successful applications of the Bayesian approach to NLP is probabilistic models derived from grammar formalisms. These probabilistic grammars play an important role in the modeling toolkit of NLP researchers, with applications pervasive in all areas, most notably, the computational analysis of language at the morphosyntactic level.

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Uday Athavankar,Arnab Mukherjeeuster index (corresponding to a mixture component) followed by a draw from a cluster-specific distribution over words. Each distribution associated with a given cluster can be defined so that it captures specific distributional properties of the words in the vocabulary, or identifies a specific cate

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