Natural language and machine translation Books
Springer Natural Language Processing
Book SynopsisPart I Concepts and Technology.- Chapter 1 Introduction to Natural Language Processing.- Chapter 2 N-gram Language Model.- Chapter 3 Part-of-Speech Tagging.- Chapter 4 Syntax and Parsing.- Chapter 5 Meaning Representation.- Chapter 6 Semantic Analysis.- Chapter 7 Pragmatic Analysis and Discourse.- Chapter 8 Transfer Learning and Transformer Technology.- Chapter 9 Major Natural Language Processing Applications.- Part II Natural Language Processing Workshops with Python Implementation in 14 Hours.- Chapter 10 Workshop#1 Basics of Natural Language Toolkit (Hour 1-2).- Chapter 11 Workshop#2 N-grams Modeling with Natural Language Toolkit (Hour 3-4).- Chapter 12 Workshop#3 Part-of-Speech Tagging using Natural Language Toolkit (Hour 5-6).- Chapter 13 Workshop#4 Semantic Analysis and Word Vectors using spaCy (Hour 7-8).- Chapter 14 Workshop#5 Sentiment Analysis and Text Classification (Hour 9-10).- Chapter 15 Workshop#6 Transformers with spaCy and TensorFlow (Hour11-12).- Chapter 16. Workshop#7 Building Chatbot with TensorFlow and Transformer Technology (Hour 13-14).
£61.74
Springer Verlag, Singapore Neural Text-to-Speech Synthesis
Book SynopsisText-to-speech (TTS) aims to synthesize intelligible and natural speech based on the given text. It is a hot topic in language, speech, and machine learning research and has broad applications in industry. This book introduces neural network-based TTS in the era of deep learning, aiming to provide a good understanding of neural TTS, current research and applications, and the future research trend. This book first introduces the history of TTS technologies and overviews neural TTS, and provides preliminary knowledge on language and speech processing, neural networks and deep learning, and deep generative models. It then introduces neural TTS from the perspective of key components (text analyses, acoustic models, vocoders, and end-to-end models) and advanced topics (expressive and controllable, robust, model-efficient, and data-efficient TTS). It also points some future research directions and collects some resources related to TTS. This book is the first to introduce neural TTS in a comprehensive and easy-to-understand way and can serve both academic researchers and industry practitioners working on TTS.Table of Contents
£113.99
Taylor & Francis Routledge Encyclopedia of Translation Technology
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£185.25
Taylor & Francis Ltd Thesaurus Construction and Use
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£92.14
Taylor & Francis Ltd ComputerAssisted Literary Translation
Book SynopsisThis collection surveys the state of the art of computer-assisted literary translation (CALT), making the case for its potential to enhance literary translation research and practice.The volume brings together early career and established scholars from around the world in countering prevailing notions around the challenges of effectively implementing contemporary CALT applications in literary translation practice which has traditionally followed the model of a single translator focused on a single work. The book begins by addressing key questions on the definition of literary translation, examining its sociological dimensions and individual translator perspective. Chapters explore the affordances of technological advancements and availability of new tools in such areas as post-edited machine translation (PEMT) in expanding the boundaries of what we think of when we think of literary translation, looking to examples from developments in co-translation, collaborative translation, crowd-sourced translation and fan translation. As the first book of its kind dedicated to the contribution CALT in its various forms can add to existing and future scholarship, this volume will be of interest to students and scholars in Translation Studies, especially those working in literary translation, machine translation and translation technologies.Table of ContentsIntroduction ANDREW ROTHWELL, ANDY WAY AND ROY YOUDALEPart 1: The Automated and Post-Edited Machine Translation of Literature1 Literary-Adapted Machine Translation in a Well-Resourced Language Pair: Explorations with More Data and Wider ContextsANTONIO TORAL, ANDREAS VAN CRANENBURGH, AND TIA NUTTERS2 ‘I Am a Bit Surprised’: Literary Translation and Post-Editing Processes CompareWALTRAUD KOLB3 Mark My Keywords: A Translator-Specific Exploration of Style in Literary Machine TranslationMARION WINTERS AND DOROTHY KENNYPart 2: Machine Translation Applications in Literary Translation4 MT and CAT: Challenges, Irrelevancies or Opportunities for Literary Translation?JAMES LUKE HADLEY5 Retranslating Proust Using CAT, MT and Other ToolsANDREW ROTHWELL6 Author-Tailored Neural Machine Translation Systems for Literary WorksANTONI OLIVER7 Machine Translation of Chinese Fantasy (Xianxia) Novels: An Investigation Into the Leading Websites Translating Chinese Internet Literature Into EnglishSHUYIN ZHANG8 Up and About, or Betwixt and Between?: The Poetry of a Translation MachineTIM VAN DE CRUYS9 Metaphor in Literary Machine Translation: Style, Creativity and LiterarinessALETTA G. DORSTPart 3: Corpus Linguistics, Text-Visualisation and Literary Translation10 KonText in Trilingual Studies—Supporting Phraseology Translation Based on the EPB CorpusANGELIKA PELJAK-ŁAPIŃSKA11 Voyant Tools’ Little Outing: How a Text Reading and Analysis Environment Can Help Literary TranslatorsLISA HORENBERG12 (Re)creating Equivalence of Stylistic Effect: A Corpus-Aided MethodologyTEREZA ŠPLÍCHALOVÁPart 4: Applying Specialised Electronic Tools to Literary Translation13 The ExperimentAVRAHAM J. ROOS14 Augmenting and Informing the Translation Process through Workflow-Enabled CALT ToolsSASHA MILE RUDAN, EUGENIA KELBERT, LAZAR KOVACEVIC, MATTHEW REYNOLDS, AND SINISHA RUDAN
£133.00
Taylor & Francis Ltd Interpreters vs Machines
Book SynopsisFrom tech giants to plucky startups, the world is full of companies boasting that they are on their way to replacing human interpreters, but are they right? Interpreters vs Machines offers a solid introduction to recent theory and research on human and machine interpreting, and then invites the reader to explore the future of interpreting. With a foreword by Dr Henry Liu, the 13th International Federation of Translators (FIT) President, and written by consultant interpreter and researcher Jonathan Downie, this book offers a unique combination of research and practical insight into the field of interpreting.Written in an innovative, accessible style with humorous touches and real-life case studies, this book is structured around the metaphor of playing and winning a computer game. It takes interpreters of all experience levels on a journey to better understand their own work, learn how computers attempt to interpret and explore possible futures for human interpreters. <Trade ReviewJonathan Downie continues his mission to bring interpreting research to the people. Outspokenly, he tackles fundamental questions for interpreters in the 21st Century. Firmly grounded in Interpreting Studies, Downie interlaces research with anecdotes well-founded in any interpreter’s daily life. It is an equally trailblazing and sulphurous book on the aspirations of machine interpreting, and the fatal mistake of not making a difference. The book is a welcome addition both to the debate on the future of interpreting and to my students’ literature list. Elisabet Tiselius, Stockholm University, SwedenA deep exploration of the limits of language, technology and the enabling power of human mediation in promoting understanding. This book puts interpreters back in the driver's seat, where they belong.Ewandro Magalhaes, Technology Advocate and Former Chief Interpreter in the UN System, USATable of ContentsIntroductionLevel One – The fundamentalsChapter 1: What is interpreting?Chapter 2: How humans interpretChapter 3: How computers "interpret"Level Two – How machines gained the upper handChapter 4: How we wrecked our own PRChapter 5: Speech translation's marvellous (but misleading) marketing Level Three – Choose your interpreting futureChapter 6: Human interpreting as a stopgapChapter 7: Hanging on with legal help Chapter 8: Mastering niches Chapter 9: Making interpreting matter againLevel Four – Interpreting that beats the botsChapter 10: Beating the bots Stage One: taking back interpreting PRChapter 11: Marketing interpreting that mattersChapter 12: Deliver more than wordsChapter 13: Coaching and supervisionLevel Five – One last thoughtChapter 14: It's time to call a truceBibliographyIndex
£32.99
Cambridge University Press Challenges in Natural Language
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£29.44
Cambridge University Press The Spoken Language Translator
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£40.84
Cambridge University Press Computational Lexical Semantics
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£115.20
Cambridge University Press Focus
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£104.50
Cambridge University Press Survey of the State of the Art in Human Language Technology
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£84.55
Cambridge University Press Formal Semantics and Pragmatics 8 Cambridge Tracts in Theoretical Computer Science Series Number 8
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£40.84
Cambridge University Press Grammatical Inference
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£89.29
Cambridge University Press The Spoken Language Translator
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£118.75
Catapult My Child the Algorithm
Book SynopsisHannah Silva's My Child, the Algorithm, is one of the best books I read this year. Merging the cozy familiarity of child-rearing with the mysterious tension of AI {...}, she has created a new genre of personal narrative, and a story whose grief, hope and curiosity takes on poetic, spiritual dimensions, even when exploring the most common chambers of the human heart. —Michelle Tea, author, Knocking Myself UpMy Child, the Algorithm tells a story of finding joy after betrayal. Like a male seahorse, Hannah Silva carried a baby made from her partner's egg. But when she gave birth, her partner left, and Hannah found herself navigating life alone with her child.Hannah started playing with a precursor to ChatGPT—wondering what AI could tell us about love. To her surprise, she was moved by the results. The algorithm prompted Hannah to share her explorations of dating, sex, friendship, and life as a queer parent in London. With the help and disruption of two unreliable narrators, a toddler and an algorithm, Hannah deconstructs her story, unraveling everything she has been taught to want, and finds alternative ways of thinking, loving, and parenting today.
£11.69
