Natural Language Processing

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781079033656Author Lorem IpsumFormat PaperbackPage Count 102Imprint Independently PublishedPublisher Independently PublishedWeight(grams) 159g

Natural Language Processing is the branch of Artificial Intelligence involving language, be it in spoken or written modality. Teaching Natural Language Processing (NLP) is difficult because of its inherent connections with other disciplines, such as...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781088163061Author Neil King KingFormat PaperbackPage Count 126Imprint IngramSparkPublisher IngramSparkWeight(grams) 159g

This is a book about the 'Halting Problem', arguably the most (in)famous computer-related problem: can an algorithm decide in finite time whether an arbitrary computer program eventually stops? This seems a dull, petty question: after all, you run the...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789355519146Author Dushyant Singh SengarFormat PaperbackPage Count 438Imprint BPB PublicationsPublisher BPB Publications

This textbook presents an up-to-date and comprehensive overview of Natural Language Processing (NLP), from basic concepts to core algorithms and key applications. Further, it contains seven step-by-step NLP workshops (total length: 14 hours) offering...

The topic of this book is the theoretical foundations of a theory LSLT -- Lexical Semantic Language Theory - and its implementation in a the system for text analysis and understanding called GETARUN, developed at the University of Venice, Laboratory of...

Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and...

Offers a non-technical overview of all the major areas in the computer processing of human speech: speech recognition; speech synthesis; speaker recognition; language identification, lip synchronisation; and co-channel separation. The text's intuitive...

This book addrsesses the dialog issues that must be resolved in building effective spoken natural language dialog systems. The authors present an architecture for dialog processing for which an implementation has been constructed that exhibits a...

This book is for developers who are looking for an overview of basic concepts in Natural Language Processing. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included...

This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part...

The book presents some methodologies, in particular Neural Networks, for handling non-literal contents (emotion, empathy, irony, etc.), some generic applications – such as emphatic Conversational Agents or expressive Text-to-Speech – and some specific...

How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this...

This text presents the formal concepts underlying Computer Science.It starts with a wide introduction to Logic with an emphasis on reasoning and proof, with chapters on Program Verification and Prolog.The treatment of computability with Automata and...

This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in the field of machine learning. It consists of three parts. The first is an overview of the history of...

The book presents a wide range of recent research results about parsing schemata, introducing formal frameworks and theoretical results while keeping a constant focus on applicability to practical parsing problems. The first part includes a general...

Privacy-preserving computing aims to protect the personal information of users while capitalizing on the possibilities unlocked by big data. This practical introduction for students, researchers, and industry practitioners is the first cohesive and...

Digital health translation is an important application of machine translation and multilingual technologies, and there is a growing need for accessibility in digital health translation design for disadvantaged communities. This book addresses that need...

Fibonacci Cubes have been an extremely popular area of research since the 1990s.This unique compendium features the state of research into Fibonacci Cubes. It expands the knowledge in graph theoretic and combinatorial properties of Fibonacci Cubes and...

Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation. Discusses recent advancements in language-independent and domain-independent information extraction from textual and/ or multimodal...

The next step in the evolution of user interfaces is here. Chatbots let your users interact with your service in their own natural language. Use free and open source tools along with Ruby to build creative, useful, and unexpected interactions for users...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781632409751Author Martin WhiteheadFormat HardbackPage Count 247Imprint Clanrye InternationalPublisher Clanrye InternationalWeight(grams) 649g

Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and Natural Language Processing Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing...

This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in the field of machine learning. It consists of three parts. The first is an overview of the history of...

This edited book is a collection of the latest empirical studies of translation and interpreting (T&I) from the post-structuralist perspective. The contributors are professors, readers, senior lecturers, lecturers, and research students from an...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781682858417Author Martin WhiteheadFormat HardbackPage Count 243Imprint Willford PressPublisher Willford PressWeight(grams) 640g

This book provides an argumentation model for means end-reasoning, a distinctive type of reasoning used for problem-solving and decision-making. Means end-reasoning is modelled as goal-directed argumentation from an agent's goals and known circumstances,...

This book marries social work and artificial intelligence to provide an introductory guide for using AI for social good. Following an introductory chapter laying out approaches and ethical principles of using AI for social work interventions, the book...

The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass...

This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer...

Constraints are everywhere: most computational problems can be described in terms of restrictions imposed on the set of possible solutions, and constraint programming is a problem-solving technique that works by incorporating those restrictions in a...

This book is aimed at providing an overview of several aspects of semantic role labeling. Chapter 1 begins with linguistic background on the definition of semantic roles and the controversies surrounding them. Chapter 2 describes how the theories have...

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically...

This textbook covers broad topics within the application of natural language processing (NLP) in biomedicine, and provides in-depth review of the NLP solutions that reveal information embedded in biomedical text. The need for biomedical NLP research and...

This open access book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious...

A broad overview of natural language processing in affective computing is given by this title. Its goal is to familiarize the reader with current approaches in affective computing as well as the most relevant concepts related to this field (affect,...