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Linguistic Fundamentals for Natural Language Processing II

2022-06-01 Computers
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Release : 2022-06-01
Genre : Computers
Kind : eBook
Book Rating : 72X/5 ( reviews)

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

Download or read book Linguistic Fundamentals for Natural Language Processing II written by Emily M. Bender. This book was released on 2022-06-01. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Linguistic Fundamentals for Natural Language Processing

2013-06-01 Computers
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Release : 2013-06-01
Genre : Computers
Kind : eBook
Book Rating : 124/5 ( reviews)

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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. This book was released on 2013-06-01. 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

Linguistic Fundamentals for Natural Language Processing II

2019
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Release : 2019
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Kind : eBook
Book Rating : 833/5 ( reviews)

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

Download or read book Linguistic Fundamentals for Natural Language Processing II written by Emily M. Bender. This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt:

Natural Language Processing and Computational Linguistics

2016-08-22 Technology & Engineering
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Release : 2016-08-22
Genre : Technology & Engineering
Kind : eBook
Book Rating : 486/5 ( reviews)

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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. This book was released on 2016-08-22. 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.

Natural Language Processing Fundamentals

2019-03-30 Computers
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Release : 2019-03-30
Genre : Computers
Kind : eBook
Book Rating : 98X/5 ( reviews)

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Book Synopsis Natural Language Processing Fundamentals by : Sohom Ghosh

Download or read book Natural Language Processing Fundamentals written by Sohom Ghosh. This book was released on 2019-03-30. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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