Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation.
Tag(s): Artificial Intelligence Python
Publication date: 10 Jul 2009
ISBN-10: 0596516495
ISBN-13: 0636920516491
Paperback: 504 pages
Views: 12,207
Type: N/A
Publisher: O’Reilly Media, Inc.
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States
Post time: 28 May 2016 12:00:00
Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation.
Publication date: 10 Jul 2009
ISBN-10: 0596516495
ISBN-13: 0636920516491
Paperback: 504 pages
Views: 12,207
Document Type: N/A
Publisher: O’Reilly Media, Inc.
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States
Post time: 28 May 2016 12:00:00
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This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.
This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.
More information is available at Natural Language Toolkit website.
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About The Author(s)
Steven Bird works on linguistic data management through the full life-cycle from collection and annotation to preservation and access. With colleagues and students he has been developing scalable methods for working with under-resourced languages in indigenous communities. He has an ongoing appointment in the Department of Computing and Information Systems at the University of Melbourne. In 2009, Steven served as President of the Association for Computational Linguistics.
Steven Bird works on linguistic data management through the full life-cycle from collection and annotation to preservation and access. With colleagues and students he has been developing scalable methods for working with under-resourced languages in indigenous communities. He has an ongoing appointment in the Department of Computing and Information Systems at the University of Melbourne. In 2009, Steven served as President of the Association for Computational Linguistics.
Ewan Klein is Professor of Language Technology in the School of Informatics at the University of Edinburgh. He completed a PhD on formal semantics at the University of Cambridge in 1978. Ewan is a past President of the European Chapter of the Association for Computational Linguistics and was a founding member and Coordinator of the European Network of Excellence in Human Language Technologies (ELSNET).
Ewan Klein is Professor of Language Technology in the School of Informatics at the University of Edinburgh. He completed a PhD on formal semantics at the University of Cambridge in 1978. Ewan is a past President of the European Chapter of the Association for Computational Linguistics and was a founding member and Coordinator of the European Network of Excellence in Human Language Technologies (ELSNET).
Dr. Edward Loper is a Research Scientist at BBN Technologies. He completed a PhD in Computer Science in 2008, supervised by Martha Palmer. His current research interests include computational linguistics and machine learning. He is the original designer and author of the NLTK toolkit and of epydoc.
Dr. Edward Loper is a Research Scientist at BBN Technologies. He completed a PhD in Computer Science in 2008, supervised by Martha Palmer. His current research interests include computational linguistics and machine learning. He is the original designer and author of the NLTK toolkit and of epydoc.