Linguistic Resources For Natural Language Processing

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Linguistic Fundamentals for Natural Language Processing

Author : Emily M. Bender
Publisher : Morgan & Claypool Publishers
Page : 186 pages
File Size : 42,8 Mb
Release : 2013-06-01
Category : Computers
ISBN : 9781627050128

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Linguistic Fundamentals for Natural Language Processing by Emily M. Bender Pdf

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

The People’s Web Meets NLP

Author : Iryna Gurevych,Jungi Kim
Publisher : Springer Science & Business Media
Page : 394 pages
File Size : 45,8 Mb
Release : 2013-04-03
Category : Language Arts & Disciplines
ISBN : 9783642350856

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The People’s Web Meets NLP by Iryna Gurevych,Jungi Kim Pdf

Collaboratively Constructed Language Resources (CCLRs) such as Wikipedia, Wiktionary, Linked Open Data, and various resources developed using crowdsourcing techniques such as Games with a Purpose and Mechanical Turk have substantially contributed to the research in natural language processing (NLP). Various NLP tasks utilize such resources to substitute for or supplement conventional lexical semantic resources and linguistically annotated corpora. These resources also provide an extensive body of texts from which valuable knowledge is mined. There are an increasing number of community efforts to link and maintain multiple linguistic resources. This book aims offers comprehensive coverage of CCLR-related topics, including their construction, utilization in NLP tasks, and interlinkage and management. Various Bachelor/Master/Ph.D. programs in natural language processing, computational linguistics, and knowledge discovery can use this book both as the main text and as a supplementary reading. The book also provides a valuable reference guide for researchers and professionals for the above topics.

Natural Language Processing with Python

Author : Steven Bird,Ewan Klein,Edward Loper
Publisher : "O'Reilly Media, Inc."
Page : 506 pages
File Size : 54,5 Mb
Release : 2009-06-12
Category : Computers
ISBN : 9780596555719

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Natural Language Processing with Python by Steven Bird,Ewan Klein,Edward Loper Pdf

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.

Speech & Language Processing

Author : Dan Jurafsky
Publisher : Pearson Education India
Page : 912 pages
File Size : 55,6 Mb
Release : 2000-09
Category : Electronic
ISBN : 8131716724

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Speech & Language Processing by Dan Jurafsky Pdf

Natural Language Processing In Healthcare

Author : Satya Ranjan Dash,Shantipriya Parida,Esaú Villatoro Tello,Biswaranjan Acharya,Ondřej Bojar
Publisher : CRC Press
Page : 227 pages
File Size : 51,6 Mb
Release : 2022-09-13
Category : Computers
ISBN : 9781000624694

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Natural Language Processing In Healthcare by Satya Ranjan Dash,Shantipriya Parida,Esaú Villatoro Tello,Biswaranjan Acharya,Ondřej Bojar Pdf

Natural Language Processing In Healthcare: A Special Focus on Low Resource Languages covers the theoretical and practical aspects as well as ethical and social implications of NLP in healthcare. It showcases the latest research and developments contributing to the rising awareness and importance of maintaining linguistic diversity. The book goes on to present current advances and scenarios based on solutions in healthcare and low resource languages and identifies the major challenges and opportunities that will impact NLP in clinical practice and health studies.

Natural Language Processing

Author : Ela Kumar
Publisher : I. K. International Pvt Ltd
Page : 220 pages
File Size : 46,5 Mb
Release : 2013-12-30
Category : Computers
ISBN : 9789380578774

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Natural Language Processing by Ela Kumar Pdf

Covers all aspects of the area of linguistic analysis and the computational systems that have been developed to perform the language analysis. The book is primarily meant for post graduate and undergraduate technical courses.

Introduction to Natural Language Processing

Author : Jacob Eisenstein
Publisher : MIT Press
Page : 535 pages
File Size : 43,6 Mb
Release : 2019-10-01
Category : Computers
ISBN : 9780262042840

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Introduction to Natural Language Processing by Jacob Eisenstein Pdf

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.

Handbook of Natural Language Processing and Machine Translation

Author : Joseph Olive,Caitlin Christianson,John McCary
Publisher : Springer Science & Business Media
Page : 956 pages
File Size : 49,9 Mb
Release : 2011-03-02
Category : Computers
ISBN : 9781441977137

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Handbook of Natural Language Processing and Machine Translation by Joseph Olive,Caitlin Christianson,John McCary Pdf

This comprehensive handbook, written by leading experts in the field, details the groundbreaking research conducted under the breakthrough GALE program--The Global Autonomous Language Exploitation within the Defense Advanced Research Projects Agency (DARPA), while placing it in the context of previous research in the fields of natural language and signal processing, artificial intelligence and machine translation. The most fundamental contrast between GALE and its predecessor programs was its holistic integration of previously separate or sequential processes. In earlier language research programs, each of the individual processes was performed separately and sequentially: speech recognition, language recognition, transcription, translation, and content summarization. The GALE program employed a distinctly new approach by executing these processes simultaneously. Speech and language recognition algorithms now aid translation and transcription processes and vice versa. This combination of previously distinct processes has produced significant research and performance breakthroughs and has fundamentally changed the natural language processing and machine translation fields. This comprehensive handbook provides an exhaustive exploration into these latest technologies in natural language, speech and signal processing, and machine translation, providing researchers, practitioners and students with an authoritative reference on the topic.

Chinese Language Resources

Author : Chu-Ren Huang,Shu-Kai Hsieh,Peng Jin
Publisher : Springer Nature
Page : 662 pages
File Size : 53,9 Mb
Release : 2024-01-19
Category : Language Arts & Disciplines
ISBN : 9783031389139

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Chinese Language Resources by Chu-Ren Huang,Shu-Kai Hsieh,Peng Jin Pdf

Based on the accumulation of research experience and knowledge over the past 30 years, this volume lays out the research issues posed by the construction of various types of Chinese language resources, how they were resolved, and the implication of the solutions for future Chinese language processing research. This volume covers 30 years of development in Chinese language processing, focusing on the impact of conscientious decisions by some leading research groups. It focuses on constructing language resources, which led to thriving research and development of expertise in Chinese language technology today. Contributions from more than 40 leading scholars from various countries explore how Chinese language resources are used in current pioneering NLP research, the future challenges and their implications for computational and theoretical linguistics.

Natural Language Processing and Computational Linguistics

Author : Mohamed Zakaria Kurdi
Publisher : John Wiley & Sons
Page : 296 pages
File Size : 48,9 Mb
Release : 2016-08-22
Category : Technology & Engineering
ISBN : 9781848218482

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Natural Language Processing and Computational Linguistics by Mohamed Zakaria Kurdi Pdf

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.

Natural Language Processing

Author : Yue Zhang,Zhiyang Teng
Publisher : Cambridge University Press
Page : 487 pages
File Size : 53,5 Mb
Release : 2021-01-07
Category : Computers
ISBN : 9781108420211

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Natural Language Processing by Yue Zhang,Zhiyang Teng Pdf

This undergraduate textbook introduces essential machine learning concepts in NLP in a unified and gentle mathematical framework.

Representation Learning for Natural Language Processing

Author : Zhiyuan Liu,Yankai Lin,Maosong Sun
Publisher : Springer Nature
Page : 319 pages
File Size : 55,7 Mb
Release : 2020-07-03
Category : Computers
ISBN : 9789811555732

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Representation Learning for Natural Language Processing by Zhiyuan Liu,Yankai Lin,Maosong Sun Pdf

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.