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Multilingual Natural Language Processing Applications

2012-05-11 Business & Economics
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Release : 2012-05-11
Genre : Business & Economics
Kind : eBook
Book Rating : 819/5 ( reviews)

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Book Synopsis Multilingual Natural Language Processing Applications by : Daniel Bikel

Download or read book Multilingual Natural Language Processing Applications written by Daniel Bikel. This book was released on 2012-05-11. Available in PDF, EPUB and Kindle. Book excerpt: Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part I introduces the core concepts and theoretical foundations of modern multilingual natural language processing, presenting today’s best practices for understanding word and document structure, analyzing syntax, modeling language, recognizing entailment, and detecting redundancy. Part II thoroughly addresses the practical considerations associated with building real-world applications, including information extraction, machine translation, information retrieval/search, summarization, question answering, distillation, processing pipelines, and more. This book contains important new contributions from leading researchers at IBM, Google, Microsoft, Thomson Reuters, BBN, CMU, University of Edinburgh, University of Washington, University of North Texas, and others. Coverage includes Core NLP problems, and today’s best algorithms for attacking them Processing the diverse morphologies present in the world’s languages Uncovering syntactical structure, parsing semantics, using semantic role labeling, and scoring grammaticality Recognizing inferences, subjectivity, and opinion polarity Managing key algorithmic and design tradeoffs in real-world applications Extracting information via mention detection, coreference resolution, and events Building large-scale systems for machine translation, information retrieval, and summarization Answering complex questions through distillation and other advanced techniques Creating dialog systems that leverage advances in speech recognition, synthesis, and dialog management Constructing common infrastructure for multiple multilingual text processing applications This book will be invaluable for all engineers, software developers, researchers, and graduate students who want to process large quantities of text in multiple languages, in any environment: government, corporate, or academic.

Multilingual Natural Language Processing Applications

2012 Electronic books
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Release : 2012
Genre : Electronic books
Kind : eBook
Book Rating : 448/5 ( reviews)

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Book Synopsis Multilingual Natural Language Processing Applications by : Daniel M. Bikel

Download or read book Multilingual Natural Language Processing Applications written by Daniel M. Bikel. This book was released on 2012. Available in PDF, EPUB and Kindle. Book excerpt: Global organizations must quickly and cost-effectively analyze, translate, synthesize, and distill massive amount of text in multiple languages. The technology needed to automate this process - multilingual natural language processing (NLP)- is advancing rapidly. This is the first comprehensive, "one-stop-shop" guide to building robust and accurate multilingual NLP systems. Multilingual Natural Language Applicationscombines all the essential background and realistic, up-to-date guidance practitioners will need to succeed. Containing new contributions from leading researchers at IBM, Google, Stanford, CMU, Columbia, and ISI, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part I focuses primarily on multilingual NLP's core technologies, including technologies for understanding the structure of words and documents; analyzing syntax; modeling language; recognizing entailment, and detecting redundancy. Part II delves into the theoretical and practical considerations involved in using these technologies to construct real-world applications. It contains detailed chapters on information extraction, machine translation, information retrieval and search, summarization, question answering, distillation, and processing pipelines.

Emerging Applications of Natural Language Processing: Concepts and New Research

2012-10-31 Computers
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Release : 2012-10-31
Genre : Computers
Kind : eBook
Book Rating : 702/5 ( reviews)

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Book Synopsis Emerging Applications of Natural Language Processing: Concepts and New Research by : Bandyopadhyay, Sivaji

Download or read book Emerging Applications of Natural Language Processing: Concepts and New Research written by Bandyopadhyay, Sivaji. This book was released on 2012-10-31. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides pertinent and vital information that researchers, postgraduate, doctoral students, and practitioners are seeking for learning about the latest discoveries and advances in NLP methodologies and applications of NLP"--Provided by publisher.

Natural Language Processing with Python

2009-06-12 Computers
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Release : 2009-06-12
Genre : Computers
Kind : eBook
Book Rating : 717/5 ( reviews)

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Book Synopsis Natural Language Processing with Python by : Steven Bird

Download or read book Natural Language Processing with Python written by Steven Bird. This book was released on 2009-06-12. Available in PDF, EPUB and Kindle. Book excerpt: 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. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence 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.

Natural Language Processing of Semitic Languages

2014-04-22 Computers
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Release : 2014-04-22
Genre : Computers
Kind : eBook
Book Rating : 589/5 ( reviews)

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Book Synopsis Natural Language Processing of Semitic Languages by : Imed Zitouni

Download or read book Natural Language Processing of Semitic Languages written by Imed Zitouni. This book was released on 2014-04-22. Available in PDF, EPUB and Kindle. Book excerpt: Research in Natural Language Processing (NLP) has rapidly advanced in recent years, resulting in exciting algorithms for sophisticated processing of text and speech in various languages. Much of this work focuses on English; in this book we address another group of interesting and challenging languages for NLP research: the Semitic languages. The Semitic group of languages includes Arabic (206 million native speakers), Amharic (27 million), Hebrew (7 million), Tigrinya (6.7 million), Syriac (1 million) and Maltese (419 thousand). Semitic languages exhibit unique morphological processes, challenging syntactic constructions and various other phenomena that are less prevalent in other natural languages. These challenges call for unique solutions, many of which are described in this book. The 13 chapters presented in this book bring together leading scientists from several universities and research institutes worldwide. While this book devotes some attention to cutting-edge algorithms and techniques, its primary purpose is a thorough explication of best practices in the field. Furthermore, every chapter describes how the techniques discussed apply to Semitic languages. The book covers both statistical approaches to NLP, which are dominant across various applications nowadays and the more traditional, rule-based approaches, that were proven useful for several other application domains. We hope that this book will provide a "one-stop-shop'' for all the requisite background and practical advice when building NLP applications for Semitic languages.

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