Readings in Automatic Language Processing
Author | : David G. Hays |
Publisher | : |
Total Pages | : 218 |
Release | : 1966 |
Genre | : Computational linguistics |
ISBN | : |
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Author | : David G. Hays |
Publisher | : |
Total Pages | : 218 |
Release | : 1966 |
Genre | : Computational linguistics |
ISBN | : |
Author | : Francis Bond |
Publisher | : Center for the Study of Language and Information Publica Tion |
Total Pages | : 0 |
Release | : 2016 |
Genre | : Computational linguistics |
ISBN | : 9781575867533 |
"Readings in Japanese Natural Language Processing" provides a broad range of morphology and syntactic analysis, discourse, and Natural Language Process applications. These carefully selected papers broaden the scope of linguistic phenomena in the Japanese language. It is an indispensable volume that presents these techniques in a manner accessible to those with little or no familiarity with Japanese.
Author | : David G. Hays |
Publisher | : |
Total Pages | : 216 |
Release | : 1966 |
Genre | : Computational linguistics |
ISBN | : |
Author | : Barbara J. Grosz |
Publisher | : Morgan Kaufmann Publishers |
Total Pages | : 688 |
Release | : 1986 |
Genre | : Computers |
ISBN | : |
Author | : Sergei Nirenburg |
Publisher | : MIT Press |
Total Pages | : 444 |
Release | : 2003 |
Genre | : Computers |
ISBN | : 9780262140744 |
The field of machine translation (MT) - the automation of translation between human languages - has existed for more than 50 years. MT helped to usher in the field of computational linguistics and has influenced methods and applications in knowledge representation, information theory, and mathematical statistics.
Author | : Robert Dale |
Publisher | : CRC Press |
Total Pages | : 974 |
Release | : 2000-07-25 |
Genre | : Business & Economics |
ISBN | : 9780824790004 |
This study explores the design and application of natural language text-based processing systems, based on generative linguistics, empirical copus analysis, and artificial neural networks. It emphasizes the practical tools to accommodate the selected system.
Author | : Grosz,B.J. et al |
Publisher | : |
Total Pages | : |
Release | : 1986 |
Genre | : |
ISBN | : |
Author | : Alexander Clark |
Publisher | : John Wiley & Sons |
Total Pages | : 802 |
Release | : 2013-04-24 |
Genre | : Language Arts & Disciplines |
ISBN | : 1118448677 |
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies
Author | : Nitin Indurkhya |
Publisher | : CRC Press |
Total Pages | : 704 |
Release | : 2010-02-22 |
Genre | : Business & Economics |
ISBN | : 142008593X |
The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater
Author | : Frederick Jelinek |
Publisher | : MIT Press |
Total Pages | : 307 |
Release | : 2022-11-01 |
Genre | : Language Arts & Disciplines |
ISBN | : 0262546604 |
This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria, maximum entropy probability estimation, parameter and data clustering, and smoothing of probability distributions. The author's goal is to present these principles clearly in the simplest setting, to show the advantages of self-organization from real data, and to enable the reader to apply the techniques. Bradford Books imprint