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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation

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Bayesian Analysis in Natural Language Processing, Second Edition (Paperback, 2nd Revised edition) Loot Price: R1,867
Discovery Miles 18 670
Bayesian Analysis in Natural Language Processing, Second Edition (Paperback, 2nd Revised edition): Shay Cohen

Bayesian Analysis in Natural Language Processing, Second Edition (Paperback, 2nd Revised edition)

Shay Cohen

Series: Synthesis Lectures on Human Language Technologies

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Loot Price R1,867 Discovery Miles 18 670 | Repayment Terms: R175 pm x 12*

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Natural language processing (NLP) went through a profound transformation in the mid-1980s when it shifted to make heavy use of corpora and data-driven techniques to analyze language. Since then, the use of statistical techniques in NLP has evolved in several ways. One such example of evolution took place in the late 1990s or early 2000s, when full-fledged Bayesian machinery was introduced to NLP. This Bayesian approach to NLP has come to accommodate various shortcomings in the frequentist approach and to enrich it, especially in the unsupervised setting, where statistical learning is done without target prediction examples. In this book, we cover the methods and algorithms that are needed to fluently read Bayesian learning papers in NLP and to do research in the area. These methods and algorithms are partially borrowed from both machine learning and statistics and are partially developed "in-house" in NLP. We cover inference techniques such as Markov chain Monte Carlo sampling and variational inference, Bayesian estimation, and nonparametric modeling. In response to rapid changes in the field, this second edition of the book includes a new chapter on representation learning and neural networks in the Bayesian context. We also cover fundamental concepts in Bayesian statistics such as prior distributions, conjugacy, and generative modeling. Finally, we review some of the fundamental modeling techniques in NLP, such as grammar modeling, neural networks and representation learning, and their use with Bayesian analysis.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Synthesis Lectures on Human Language Technologies
Release date: April 2019
First published: 2019
Authors: Shay Cohen
Dimensions: 235 x 191mm (L x W)
Format: Paperback
Pages: 311
Edition: 2nd Revised edition
ISBN-13: 978-3-03-101042-2
Languages: English
Subtitles: English
Categories: Books > Language & Literature > Language & linguistics > Computational linguistics
Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
LSN: 3-03-101042-6
Barcode: 9783031010422

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