Linguistic Fundamentals For Natural Language Processing

Author : Emily M. Bender
Publisher : Morgan & Claypool Publishers
Page : 186 pages
File Size : 45,6 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

Author : Emily M. Bender
Publisher : Springer Nature
Page : 250 pages
File Size : 45,9 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9783031021725

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

Meaning is a fundamental concept in Natural Language Processing (NLP), in the tasks of both Natural Language Understanding (NLU) and Natural Language Generation (NLG). This is because the aims of these fields are to build systems that understand what people mean when they speak or write, and that can produce linguistic strings that successfully express to people the intended content. In order for NLP to scale beyond partial, task-specific solutions, researchers in these fields must be informed by what is known about how humans use language to express and understand communicative intents. The purpose of this book is to present a selection of useful information about semantics and pragmatics, as understood in linguistics, in a way that's accessible to and useful for NLP practitioners with minimal (or even no) prior training in linguistics.

Author : Alexander Clark,Chris Fox,Shalom Lappin
Publisher : John Wiley & Sons
Page : 802 pages
File Size : 42,8 Mb
Release : 2013-04-24
Category : Language Arts & Disciplines
ISBN : 9781118448670

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The Handbook of Computational Linguistics and Natural Language Processing by Alexander Clark,Chris Fox,Shalom Lappin Pdf

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 : Sohom Ghosh,Dwight Gunning
Publisher : Packt Publishing Ltd
Page : 374 pages
File Size : 44,6 Mb
Release : 2019-03-30
Category : Computers
ISBN : 9781789955989

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Natural Language Processing Fundamentals by Sohom Ghosh,Dwight Gunning Pdf

Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems. Key FeaturesAssimilate key NLP concepts and terminologies Explore popular NLP tools and techniquesGain practical experience using NLP in application codeBook Description If NLP hasn't been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems. You'll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modeling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you'll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you'll understand how to apply NLP techniques to answer questions as can be used in chatbots. By the end of this book, you'll be able to accomplish a varied range of assignments ranging from identifying the most suitable type of NLP task for solving a problem to using a tool like spacy or gensim for performing sentiment analysis. The book will easily equip you with the knowledge you need to build applications that interpret human language. What you will learnObtain, verify, and clean data before transforming it into a correct format for usePerform data analysis and machine learning tasks using PythonUnderstand the basics of computational linguisticsBuild models for general natural language processing tasksEvaluate the performance of a model with the right metricsVisualize, quantify, and perform exploratory analysis from any text dataWho this book is for Natural Language Processing Fundamentals is designed for novice and mid-level data scientists and machine learning developers who want to gather and analyze text data to build an NLP-powered product. It'll help you to have prior experience of coding in Python using data types, writing functions, and importing libraries. Some experience with linguistics and probability is useful but not necessary.

Author : Mohamed Zakaria Kurdi
Publisher : John Wiley & Sons
Page : 296 pages
File Size : 48,8 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.

Author : Ela Kumar
Publisher : I. K. International Pvt Ltd
Page : 220 pages
File Size : 46,9 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.

Author : Nitin Indurkhya,Fred J. Damerau
Publisher : CRC Press
Page : 704 pages
File Size : 51,6 Mb
Release : 2010-02-22
Category : Business & Economics
ISBN : 9781420085938

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Handbook of Natural Language Processing by Nitin Indurkhya,Fred J. Damerau Pdf

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 : Emily M. Bender
Publisher : Unknown
Page : 0 pages
File Size : 46,6 Mb
Release : 2019
Category : Electronic
ISBN : 3031001834

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

Author : Dan Jurafsky
Publisher : Pearson Education India
Page : 912 pages
File Size : 53,7 Mb
Release : 2000-09
Category : Electronic
ISBN : 8131716724

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Speech & Language Processing by Dan Jurafsky Pdf

Author : Steven Bird,Ewan Klein,Edward Loper
Publisher : "O'Reilly Media, Inc."
Page : 506 pages
File Size : 52,9 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.

Author : Jacob Eisenstein
Publisher : MIT Press
Page : 535 pages
File Size : 47,7 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.

Author : Christopher Manning,Hinrich Schutze
Publisher : MIT Press
Page : 722 pages
File Size : 46,8 Mb
Release : 1999-05-28
Category : Language Arts & Disciplines
ISBN : 0262133601

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Foundations of Statistical Natural Language Processing by Christopher Manning,Hinrich Schutze Pdf

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.

Author : Bernadette Sharp,Rodolfo Delmonte
Publisher : Walter de Gruyter GmbH & Co KG
Page : 326 pages
File Size : 52,9 Mb
Release : 2015-03-10
Category : Technology & Engineering
ISBN : 9781501501289

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Natural Language Processing and Cognitive Science by Bernadette Sharp,Rodolfo Delmonte Pdf

Peer reviewed articles from the Natural Language Processing and Cognitive Science (NLPCS) 2014 meeting in October 2014 workshop. The meeting fosters interactions among researchers and practitioners in NLP by taking a Cognitive Science perspective. Articles cover topics such as artificial intelligence, computational linguistics, psycholinguistics, cognitive psychology and language learning.

Author : Dan Jurafsky,James H. Martin
Publisher : Prentice Hall
Page : 1027 pages
File Size : 46,6 Mb
Release : 2009
Category : Automatic speech recognition
ISBN : 9780131873216

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Speech and Language Processing by Dan Jurafsky,James H. Martin Pdf

This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora. Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.

Author : W. G. Lehnert,M. H. Ringle
Publisher : Psychology Press
Page : 556 pages
File Size : 46,7 Mb
Release : 2014-04-04
Category : Psychology
ISBN : 9781317769255

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Strategies for Natural Language Processing by W. G. Lehnert,M. H. Ringle Pdf

First published in 1982. Simply defined, the field of natural language processing is concerned with theories and techniques that address the problem of natural language communication with computers. One of the goals of this research is to design computer programs that will allow people to interact with computers in natural conversational dialogues.