Multilingual Natural Language Processing Applications

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Multilingual Natural Language Processing Applications

Author : Daniel Bikel
Publisher : IBM Press
ISBN 13 : 0137047819
Total Pages : 829 pages
Book Rating : 4.1/5 (37 download)

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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 and published by IBM Press. This book was released on 2012-05-11 with total page 829 pages. 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

Author : Daniel M. Bikel
Publisher :
ISBN 13 : 9780137151448
Total Pages : 0 pages
Book Rating : 4.1/5 (514 download)

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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 and published by . This book was released on 2012 with total page 0 pages. 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

Author : Bandyopadhyay, Sivaji
Publisher : IGI Global
ISBN 13 : 1466621702
Total Pages : 389 pages
Book Rating : 4.4/5 (666 download)

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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 and published by IGI Global. This book was released on 2012-10-31 with total page 389 pages. 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 of Semitic Languages

Author : Imed Zitouni
Publisher : Springer Science & Business
ISBN 13 : 3642453589
Total Pages : 459 pages
Book Rating : 4.6/5 (424 download)

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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 and published by Springer Science & Business. This book was released on 2014-04-22 with total page 459 pages. 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.

Natural Language Processing with Python

Author : Steven Bird
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596555717
Total Pages : 506 pages
Book Rating : 4.5/5 (965 download)

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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 and published by "O'Reilly Media, Inc.". This book was released on 2009-06-12 with total page 506 pages. 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.

Language technologies for a multilingual Europe

Author : Georg Rehm
Publisher : Language Science Press
ISBN 13 : 3946234739
Total Pages : 217 pages
Book Rating : 4.9/5 (462 download)

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Book Synopsis Language technologies for a multilingual Europe by : Georg Rehm

Download or read book Language technologies for a multilingual Europe written by Georg Rehm and published by Language Science Press. This book was released on 2018-06-19 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of the series “Translation and Multilingual Natural Language Processing” includes most of the papers presented at the Workshop “Language Technology for a Multilingual Europe”, held at the University of Hamburg on September 27, 2011 in the framework of the conference GSCL 2011 with the topic “Multilingual Resources and Multilingual Applications”, along with several additional contributions. In addition to an overview article on Machine Translation and two contributions on the European initiatives META-NET and Multilingual Web, the volume includes six full research articles. Our intention with this workshop was to bring together various groups concerned with the umbrella topics of multilingualism and language technology, especially multilingual technologies. This encompassed, on the one hand, representatives from research and development in the field of language technologies, and, on the other hand, users from diverse areas such as, among others, industry, administration and funding agencies. The Workshop “Language Technology for a Multilingual Europe” was co-organised by the two GSCL working groups “Text Technology” and “Machine Translation” (http://gscl.info) as well as by META-NET (http://www.meta-net.eu).

Natural Language Processing and Computational Linguistics

Author : Mohamed Zakaria Kurdi
Publisher : John Wiley & Sons
ISBN 13 : 1119145570
Total Pages : 296 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Natural Language Processing and Computational Linguistics by : Mohamed Zakaria Kurdi

Download or read book Natural Language Processing and Computational Linguistics written by Mohamed Zakaria Kurdi and published by John Wiley & Sons. This book was released on 2016-08-17 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural language processing (NLP) is a scientific discipline which is found at the interface of computer science, artificial intelligence and cognitive psychology. Providing an overview of international work in this interdisciplinary field, this book gives the reader a panoramic view of both early and current research in NLP. Carefully chosen multilingual examples present the state of the art of a mature field which is in a constant state of evolution. In four chapters, this book presents the fundamental concepts of phonetics and phonology and the two most important applications in the field of speech processing: recognition and synthesis. Also presented are the fundamental concepts of corpus linguistics and the basic concepts of morphology and its NLP applications such as stemming and part of speech tagging. The fundamental notions and the most important syntactic theories are presented, as well as the different approaches to syntactic parsing with reference to cognitive models, algorithms and computer applications.

Representation Learning for Natural Language Processing

Author : Zhiyuan Liu
Publisher : Springer Nature
ISBN 13 : 9811555737
Total Pages : 319 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Representation Learning for Natural Language Processing by : Zhiyuan Liu

Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu and published by Springer Nature. This book was released on 2020-07-03 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.

Language Processing with Perl and Prolog

Author : Pierre M. Nugues
Publisher : Springer
ISBN 13 : 3642414648
Total Pages : 662 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Language Processing with Perl and Prolog by : Pierre M. Nugues

Download or read book Language Processing with Perl and Prolog written by Pierre M. Nugues and published by Springer. This book was released on 2014-08-06 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt: The areas of natural language processing and computational linguistics have continued to grow in recent years, driven by the demand to automatically process text and spoken data. With the processing power and techniques now available, research is scaling up from lab prototypes to real-world, proven applications. This book teaches the principles of natural language processing, first covering practical linguistics issues such as encoding and annotation schemes, defining words, tokens and parts of speech and morphology, as well as key concepts in machine learning, such as entropy, regression and classification, which are used throughout the book. It then details the language-processing functions involved, including part-of-speech tagging using rules and stochastic techniques, using Prolog to write phase-structure grammars, syntactic formalisms and parsing techniques, semantics, predicate logic and lexical semantics and analysis of discourse and applications in dialogue systems. A key feature of the book is the author's hands-on approach throughout, with sample code in Prolog and Perl, extensive exercises, and a detailed introduction to Prolog. The reader is supported with a companion website that contains teaching slides, programs and additional material. The second edition is a complete revision of the techniques exposed in the book to reflect advances in the field the author redesigned or updated all the chapters, added two new ones and considerably expanded the sections on machine-learning techniques.

Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Author : Maosong Sun
Publisher : Springer
ISBN 13 : 3319690051
Total Pages : 482 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data by : Maosong Sun

Download or read book Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data written by Maosong Sun and published by Springer. This book was released on 2017-10-06 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. The 39 full papers presented in this volume were carefully reviewed and selected from 272 submissions. They were organized in topical sections named: Fundamental theory and methods of computational linguistics; Machine translation and multilingual information processing; Knowledge graph and information extraction; Language resource and evaluation; Information retrieval and question answering; Text classification and summarization; Social computing and sentiment analysis; NLP applications; Minority language information processing.

Linguistic Fundamentals for Natural Language Processing

Author : Emily M. Bender
Publisher : Springer Nature
ISBN 13 : 3031021509
Total Pages : 166 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Linguistic Fundamentals for Natural Language Processing by : Emily M. Bender

Download or read book Linguistic Fundamentals for Natural Language Processing written by Emily M. Bender and published by Springer Nature. This book was released on 2022-05-31 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many NLP tasks have at their core a subtask of extracting the dependencies—who did what to whom—from natural language sentences. This task can be understood as the inverse of the problem solved in different ways by diverse human languages, namely, how to indicate the relationship between different parts of a sentence. Understanding how languages solve the problem can be extremely useful in both feature design and error analysis in the application of machine learning to NLP. Likewise, understanding cross-linguistic variation can be important for the design of MT systems and other multilingual applications. The purpose of this book is to present in a succinct and accessible fashion information about the morphological and syntactic structure of human languages that can be useful in creating more linguistically sophisticated, more language-independent, and thus more successful NLP systems. Table of Contents: Acknowledgments / Introduction/motivation / Morphology: Introduction / Morphophonology / Morphosyntax / Syntax: Introduction / Parts of speech / Heads, arguments, and adjuncts / Argument types and grammatical functions / Mismatches between syntactic position and semantic roles / Resources / Bibliography / Author's Biography / General Index / Index of Languages

Building and Using Comparable Corpora for Multilingual Natural Language Processing

Author : Serge Sharoff
Publisher : Springer Nature
ISBN 13 : 3031313844
Total Pages : 138 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Building and Using Comparable Corpora for Multilingual Natural Language Processing by : Serge Sharoff

Download or read book Building and Using Comparable Corpora for Multilingual Natural Language Processing written by Serge Sharoff and published by Springer Nature. This book was released on 2023-08-23 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of methods to build comparable corpora and of their applications, including machine translation, cross-lingual transfer, and various kinds of multilingual natural language processing. The authors begin with a brief history on the topic followed by a comparison to parallel resources and an explanation of why comparable corpora have become more widely used. In particular, they provide the basis for the multilingual capabilities of pre-trained models, such as BERT or GPT. The book then focuses on building comparable corpora, aligning their sentences to create a database of suitable translations, and using these sentence translations to produce dictionaries and term banks. Then, it is explained how comparable corpora can be used to build machine translation engines and to develop a wide variety of multilingual applications.

Natural Language Processing for Social Media

Author : Atefeh Farzindar
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681736136
Total Pages : 197 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Natural Language Processing for Social Media by : Atefeh Farzindar

Download or read book Natural Language Processing for Social Media written by Atefeh Farzindar and published by Morgan & Claypool Publishers. This book was released on 2017-12-15 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, healthcare, business intelligence, industry, marketing, and security and defence. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, virtual reality, and social networking. In this second edition, we have added information about recent progress in the tasks and applications presented in the first edition. We discuss new methods and their results. The number of research projects and publications that use social media data is constantly increasing due to continuously growing amounts of social media data and the need to automatically process them. We have added 85 new references to the more than 300 references from the first edition. Besides updating each section, we have added a new application (digital marketing) to the section on media monitoring and we have augmented the section on healthcare applications with an extended discussion of recent research on detecting signs of mental illness from social media.

Linguistic Fundamentals for Natural Language Processing

Author : Emily M. Bender
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627050124
Total Pages : 186 pages
Book Rating : 4.6/5 (27 download)

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Book Synopsis Linguistic Fundamentals for Natural Language Processing by : Emily M. Bender

Download or read book Linguistic Fundamentals for Natural Language Processing written by Emily M. Bender and published by Morgan & Claypool Publishers. This book was released on 2013-06-01 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many NLP tasks have at their core a subtask of extracting the dependencies—who did what to whom—from natural language sentences. This task can be understood as the inverse of the problem solved in different ways by diverse human languages, namely, how to indicate the relationship between different parts of a sentence. Understanding how languages solve the problem can be extremely useful in both feature design and error analysis in the application of machine learning to NLP. Likewise, understanding cross-linguistic variation can be important for the design of MT systems and other multilingual applications. The purpose of this book is to present in a succinct and accessible fashion information about the morphological and syntactic structure of human languages that can be useful in creating more linguistically sophisticated, more language-independent, and thus more successful NLP systems. Table of Contents: Acknowledgments / Introduction/motivation / Morphology: Introduction / Morphophonology / Morphosyntax / Syntax: Introduction / Parts of speech / Heads, arguments, and adjuncts / Argument types and grammatical functions / Mismatches between syntactic position and semantic roles / Resources / Bibliography / Author's Biography / General Index / Index of Languages

Multi-source, Multilingual Information Extraction and Summarization

Author : Thierry Poibeau
Publisher : Springer Science & Business Media
ISBN 13 : 3642285694
Total Pages : 331 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Multi-source, Multilingual Information Extraction and Summarization by : Thierry Poibeau

Download or read book Multi-source, Multilingual Information Extraction and Summarization written by Thierry Poibeau and published by Springer Science & Business Media. This book was released on 2012-08-14 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form. The ongoing information explosion makes IE and TS critical for successful functioning within the information society. These technologies face particular challenges due to the inherent multi-source nature of the information explosion. The technologies must now handle not isolated texts or individual narratives, but rather large-scale repositories and streams---in general, in multiple languages---containing a multiplicity of perspectives, opinions, or commentaries on particular topics, entities or events. There is thus a need to adapt existing techniques and develop new ones to deal with these challenges. This volume contains a selection of papers that present a variety of methodologies for content identification and extraction, as well as for content fusion and regeneration. The chapters cover various aspects of the challenges, depending on the nature of the information sought---names vs. events,--- and the nature of the sources---news streams vs. image captions vs. scientific research papers, etc. This volume aims to offer a broad and representative sample of studies from this very active research field.

Introduction to Arabic Natural Language Processing

Author : Nizar Y. Habash
Publisher : Springer Nature
ISBN 13 : 3031021398
Total Pages : 170 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Introduction to Arabic Natural Language Processing by : Nizar Y. Habash

Download or read book Introduction to Arabic Natural Language Processing written by Nizar Y. Habash and published by Springer Nature. This book was released on 2022-06-01 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background information for working with the Arabic language. The goal is to introduce Arabic linguistic phenomena and review the state-of-the-art in Arabic processing. The book discusses Arabic script, phonology, orthography, morphology, syntax and semantics, with a final chapter on machine translation issues. The chapter sizes correspond more or less to what is linguistically distinctive about Arabic, with morphology getting the lion's share, followed by Arabic script. No previous knowledge of Arabic is needed. This book is designed for computer scientists and linguists alike. The focus of the book is on Modern Standard Arabic; however, notes on practical issues related to Arabic dialects and languages written in the Arabic script are presented in different chapters. Table of Contents: What is "Arabic"? / Arabic Script / Arabic Phonology and Orthography / Arabic Morphology / Computational Morphology Tasks / Arabic Syntax / A Note on Arabic Semantics / A Note on Arabic and Machine Translation

Similar Languages, Varieties, and Dialects

Author : Marcos Zampieri
Publisher : Cambridge University Press
ISBN 13 : 1108429351
Total Pages : 345 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Similar Languages, Varieties, and Dialects by : Marcos Zampieri

Download or read book Similar Languages, Varieties, and Dialects written by Marcos Zampieri and published by Cambridge University Press. This book was released on 2021-09-02 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studying language variation requires comprehensive interdisciplinary knowledge and new computational tools. This essential reference introduces researchers and graduate students in computer science, linguistics, and NLP to the core topics in language variation and the computational methods applied to similar languages, varieties, and dialects.