{"title":"Natural language and machine translation Books","description":"","products":[{"product_id":"essential-math-for-ai-9781098107635","title":"Essential Math for AI","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. 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In this engaging book, you’ll explore the core tools and techniques required to build a huge range of powerful NLP apps.      about the technologyNatural language processing is the part of AI dedicated to understanding and generating human text and speech. NLP covers a wide range of algorithms and tasks, from classic functions such as spell checkers, machine translation, and search engines to emerging innovations like chatbots, voice assistants, and automatic text summarization. Wherever there is text, NLP can be useful for extracting meaning and bridging the gap between humans and machines.    about the book  \u003ci\u003eReal-world Natural Language Processing\u003c\/i\u003e   teaches you how to create practical NLP applications using Python and open source NLP libraries such as AllenNLP and Fairseq. In this practical guide, you’ll begin by creating a complete sentiment analyzer, then dive deep into each component to unlock the building blocks you’ll use in all different kinds of NLP programs. By the time you’re done, you’ll have the skills to create named entity taggers, machine translation systems, spelling correctors, and language generation systems.            what's inside   \u003cul\u003e\n\u003cli\u003eDesign, develop, and deploy basic NLP applications\u003c\/li\u003e\n\u003cli\u003eNLP libraries such as AllenNLP and Fairseq\u003c\/li\u003e\n\u003cli\u003eAdvanced NLP concepts such as attention and transfer learning\u003c\/li\u003e\n\u003c\/ul\u003e       about the readerAimed at intermediate Python programmers. No mathematical or machine learning knowledge required.       about the author   \u003cb\u003eMasato Hagiwara\u003c\/b\u003e    received his computer science PhD from Nagoya University in 2009, focusing on Natural Language Processing and machine learning. He has interned at Google and Microsoft Research, and worked at Baidu Japan, Duolingo, and Rakuten Institute of Technology. He now runs his own consultancy business advising clients, including startups and research institutions.","brand":"Manning Publications","offers":[{"title":"Default Title","offer_id":48740644520279,"sku":"9781617296420","price":43.19,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781617296420.jpg?v=1720055231"},{"product_id":"getting-started-with-chatgpt-and-ai-chatbots-an-introduction-to-generative-ai-tools-9781780176413","title":"Getting Started with ChatGPT and AI Chatbots: An","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eLearn how to use ChatGPT, Bing Chat \/ Copilot, and Bard to get the most out of these powerful tools\u003c\/strong\u003e.\u003c\/p\u003e \u003cp\u003eChatGPT has become a tool hundreds of millions use every day - yet few have mastered the art of sweet-talking these new AI chatbots into providing detailed and accurate responses to user prompts. It's vital for every professional tech user to have an understanding of how AI chatbots work, and how best to put them to work.\u003c\/p\u003e \u003cp\u003eWhile the fear is that AI will take people’s jobs, it is more likely to be someone using AI that will!\u003c\/p\u003e \u003cp\u003e\u003cem\u003eGetting Started with ChatGPT and AI Chatbots\u003c\/em\u003e explores the ‘big three’ AI chatbots - OpenAI ChatGPT, Microsoft \/ Windows Copilot and Google Bard - demystifying their operation, and providing a wealth of tools for thinking about how to talk to these smart tools.\u003c\/p\u003e \u003cp\u003eWhether you're a business user, a tech student, or a curious professional, this book is for you to understand and demystify Large Language Models (LLMs) and generative AI tools, harnessing them to enhance your role.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eIn this ever so timely book, one of my favourite technologists Mark Pesce, takes us through and behind the screen to explain how the latest generation of AI chatbots actually work. But this is not a book about chatbots, this is a book about how to use AI-powered chatbots in daily life, and how to use them to their fullest potential. -- Genevieve Bell, The Australian National University\u003cbr\u003eThis book is a must-read for anyone considering using generative AI in business. Authored in non-technical language, it walks through the origins of the first chatbot into the current generative AI landscape including ChatGPT, Copilot and Bard. Furthermore, the guidance on effective prompting to achieve the right results, and a list of critical dos and don'ts to protect sensitive data really make this an all-round winner. Top marks BCS, highly recommended! -- Pauline Norstrom, Founder and CEO, Anekanta® Consulting and Anekanta® AI\u003cbr\u003eThis book provides practical guidance on the use of a rapidly growing technologies referred to as AI chatbots, that offer a substantial productivity advantage to those adept at crafting precise prompts and understanding their diverse applications. It is a valuable resource for mastering these emerging tools, ensuring not only competitiveness but also enabling a focus on the creative and compelling facets of one's work. I highly recommend everyone to read this book and glean insights on wielding this potent power proficiently to remain competent. -- Rashik Parmar MBE FBCS, Group CEO, BCS, The Chartered Institute for IT\u003cbr\u003eIn late November 2022, ChatGPT introduced a major advance in Artificial Intelligence that surprised almost everyone, including many experts in AI. Trained on text from billions of books and webpages, it can thoughtfully answer questions on a huge variety of topics and languages. The increase in our capability to access human knowledge is analogous to the increase provided by the internet in 1993. For both technologies, getting good answers requires knowing how to ask the right questions. In this timely and important book, Mark Pesce, who has been at the forefront of new digital technologies for over 30 years, provides a compelling and comprehensive introduction to ChatGPT and how to use it. -- Professor Ken Goldberg, William S. Floyd Jr. Distinguished Chair in Engineering, UC Berkeley\u003cbr\u003eEverything you need to educate yourself and your colleagues about the latest hot topic is found within these pages, it’s a must share for colleagues to stimulate conversations about how your business can best adopt AI safely and where you will find business cases. From useful tips on prompts to security concerns about data, biases, and hallucinations with comparisons, get the facts you need on AI here. These are exactly the kinds of conversations I’m having two or three times a day, helping organisations bring their AI aspirations in line with what their business needs are. -- David Starkings, AI Adoption Consultant, tts digital adoption solutions\u003cbr\u003eGetting Started with ChatGPT and AI Chatbots is perfectly targeted to give an introduction to ChatGPT and AI Chatbots, it compares and contrasts a range of the major options and covers how each of the competing Chatbots can answer the same question very differently. It also poses some interesting thoughts around ‘Prompt Engineering’ and how this may become a whole new skillset that people need to learn. I thought that Chapter 6 brought insight to ‘hallucinations’ and how AI chatbots have the ability to sound very confident, even when they are wrong, the importance of fact checking and using human experts is stressed well. -- Richard Parker MBCS, Chair, AELP Sector Forum, IT \u0026amp; Digital\u003cbr\u003eMark's book is a practical and pragmatic guide to contemporary spellcasting - the magic needed to evoke useful, safe and factual results from the emerging field of large language models. Importantly the book provides the framework needed to evaluate LLM's critically and ground them in reality - a must-have resource for explorers in this field. -- Bhautik Joshi, Principal Applied Scientist, Canva\u003cbr\u003eEverybody is talking about AI, and soon it will be integrated into every part of our electronic devices - always on and always available. Getting Started with ChatGPT and AI Chatbots explains in an easy-to-understand way how AI works and how to get the best results from it, safely and securely. -- David Smith MBCS MIET, Lead Business Analyst, Lloyds Banking Group\u003cbr\u003eWith this book, Mark creates a path to a dialog with new and emerging AI platforms, one that I’ll be referring to again and again as these technologies evolve. Ever heard of autonomous agents? You have now. A brilliant, timely, and superbly helpful pathfinder. -- Dr Catherine Ball PhD DSc GAICD, CompIEAust, Associate Professor, The Australian National University\u003cbr\u003eAn essential read for those venturing into Generative AI, this book seamlessly blends historical and theoretical insights with practical examples. The book adeptly navigates concerns surrounding Generative AI, making it a valuable resource for students, academics, and professionals alike. -- Professor Lasith Gunawardena FBCS, Department Head of Information Technology, University of Sri Jayewardenepura, Sri Lanka\u003cbr\u003eIf you’ve only dabbled or toyed with ChatGPT or other generative AI tools, you’ll find Mark Pesce’s book invaluable. The book will educate you about how to use AI chatbots effectively and safely. It covers the basics of various chatbots, the technology behind them, and the concept of 'prompt engineering' to elicit desired responses. It also addresses safety and security concerns and explores advanced techniques like using personas and chain-of-reason prompts. Highly recommended! -- Tim Clements FBCS CITP FIP CIPP\/E CIPM CIPT, Business Owner, Purpose and Means\u003cbr\u003eA concise yet thorough take on AI and how to use it to its advantage. Taking us from our place of trust in the output of computers to encourage us think further about what we input, and to question the completion. ‘If you wouldn’t shout it from the rooftop, you shouldn’t type it into a chatbot.’ -- Kym Glover CITP MBCS MAPM, Program Manager, ForgeRock.\u003cbr\u003eNot yet started with an AI chatbot? This book is your call-to-action and your how-to rolled into one. A smooth and informative read that'll kickstart your practical learning and give you great ideas to get the best out of Generative AIs. A real confidence builder. -- Bronia Anderson-Kelly, IT Change Consultant, Sabiduria Ltd\u003cbr\u003eThis book is a fantastic resource for anyone starting out with Gen AI tools. It not only covers the fundamental aspects of the leading Gen AI tools available today, but also the essentials of prompt engineering. With the widespread adoption of Gen AI in the coming years, just like the internet, this book is a useful guide. Mark not only provides a solid foundation in the basics but also delivers valuable insights into the history and potential future of these tools. Highly recommended for its clarity and depth. -- Graeme Vermeulen, Head of Technical Architecture, Advanced\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction 1. Getting Started 2. How AI Chatbots Work 3. Security and Privacy 4. Simple Prompts 5. Reasoning and Summarising 6. Truthiness and Chatbots 7. Character, Context and Conflict 8. Using Character, Context and Challenge to Craft Powerful Prompts 9. Chain of Thought Prompts 10. Computer Says No 11. Creating Images with Bing Chat 12. Windows Copilot 13. Autonomous Agents 14. Will and AI Chatbot Take My Job 15. What the Future Holds \/ Next Steps","brand":"BCS Learning \u0026 Development Limited","offers":[{"title":"Default Title","offer_id":48740983570775,"sku":"9781780176413","price":14.24,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781780176413.jpg?v=1720056212"},{"product_id":"man-machine-speech-communication-14th-national-conference-ncmmsc-2017-lianyungang-china-october-11-13-2017-revised-selected-papers-9789811081101","title":"Man-Machine Speech Communication: 14th National","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book constitutes the refereed proceedings of the 14th National Conference on Man-Machine Speech Communication, NCMMSC 2017, held in Lianyungang, China, in October 2017. \u003c\/p\u003e  \u003cp\u003eThe 13 revised full papers presented were carefully reviewed and selected from 39 submissions. 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On a more general note, graduate students or novice researchers can utilise this book as a comprehensive starting point for their area of interest within NLP or CL … All in all, this is very well compiled book, which effectively balances the width and depth of theories and applications in two very diverse yet closely related fields of language research.”  (\u003ci\u003eMachine Translation\u003c\/i\u003e, 18 March 2012)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eList of Figures ix\u003c\/p\u003e \u003cp\u003eList of Tables xiv\u003c\/p\u003e \u003cp\u003eNotes on Contributors xv\u003c\/p\u003e \u003cp\u003ePreface xxiii\u003c\/p\u003e \u003cp\u003eIntroduction 1\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Formal Foundations 9\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1 Formal Language Theory 11\u003cbr\u003e \u003ci\u003eShuly Wintner\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Computational Complexity in Natural Language 43\u003cbr\u003e \u003ci\u003eIan Pratt-Hartmann\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 Statistical Language Modeling 74\u003cbr\u003e \u003ci\u003eCiprian Chelba\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 Theory of Parsing 105\u003cbr\u003e \u003ci\u003eMark-Jan Nederhof And Giorgio Satta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Current Methods 131\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5 Maximum Entropy Models 133\u003cbr\u003e \u003ci\u003eRobert Malouf\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Memory-Based Learning 154\u003cbr\u003e \u003ci\u003eWalter Daelemans And Antal Van Den Bosch\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 Decision Trees 180\u003cbr\u003e \u003ci\u003eHelmut Schmid\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 Unsupervised Learning and Grammar Induction 197\u003cbr\u003e \u003ci\u003eAlexander Clark And Shalom Lappin\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Artificial Neural Networks 221\u003cbr\u003e \u003ci\u003eJames B. Henderson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 Linguistic Annotation 238\u003cbr\u003e \u003ci\u003eMartha Palmer And Nianwen Xue\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 Evaluation of NLP Systems 271\u003cbr\u003e \u003ci\u003ePhilip Resnik And Jimmy Lin\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Domains of Application 297\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12 Speech Recognition 299\u003cbr\u003e \u003ci\u003eSteve Renals And Thomas Hain\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 Statistical Parsing 333\u003cbr\u003e \u003ci\u003eStephen Clark\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 Segmentation and Morphology 364\u003cbr\u003e \u003ci\u003eJohn A. 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From there, practical advice and illustrations take you through the elements of formulating research questions, working with software, and purposeful writing of each of the different kinds of chapters, and finishes with a focus on revision, dissemination and deadlines. \u003ci\u003eHow to Write a Better Thesis\u003c\/i\u003e presents a cohesive approach to research that will help you succeed. \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFrom the book reviews:\u003c\/p\u003e“After reading the book, you are left with no doubt as to what is required to write a thesis, as well as how to undertake the task using a systematic approach. … It should be mandatory reading for all postgraduate students embarking on a master’s degree or higher academic qualification. I highly recommend it.” (S. M. Godwin, Computing Reviews, August, 2014)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eWhat is a Thesis?.- Thesis Structure.- Mechanics of Writing.- Making a Strong Start.- The Introductory Chapter.- Background Chapters.- Establishing Your Contribution.- Outcomes and Results.- The Discussion or Interpretation.- The Conclusion.- Before You Submit.- Beyond the Thesis.","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49084768715095,"sku":"9783319042855","price":23.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783319042855.jpg?v=1725553283"},{"product_id":"python-for-natural-language-processing-9783031575488","title":"Python for Natural Language Processing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eSince the last edition of this book (2014), progress has been astonishing in all areas of Natural Language Processing, with recent achievements in Text Generation that spurred a media interest going beyond the traditional academic circles.","brand":"Springer","offers":[{"title":"Default Title","offer_id":49372691497303,"sku":"9783031575488","price":49.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031575488.jpg?v=1730163827"},{"product_id":"artificial-intelligence-9783111344003","title":"Artificial Intelligence","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"De Gruyter","offers":[{"title":"Default Title","offer_id":49372697067863,"sku":"9783111344003","price":122.85,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783111344003.jpg?v=1730163850"},{"product_id":"automating-empathy-9780197615553","title":"Automating Empathy","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis is an open access title. It is made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 International license. It is available to read and download as a PDF version on the Oxford Academic platform.We live in a world where artificial intelligence and intensive use of personal data has become normalized. Companies across the world are developing and launching technologies to infer and interact with emotions, mental states, and human conditions. However, the methods and means of mediating information about people and their emotional states are incomplete and problematic. Automating Empathy offers a critical exploration of technologies that sense intimate dimensions of human life and the modern ethical questions raised by attempts to perform and simulate empathy. It traces the ascendance of empathic technologies from their origins in physiognomy and pathognomy to the modern day and explores technologies in nations with non-Western ethical histories and app\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1: Automating Empathy    SECTION I: THEORY AND ETHICS  Chapter 2: Hyperreal Emotion   Chapter 3: Assessing the Physiognomic Critique   Chapter 4: Hybrid Ethics  Chapter 5: The Context Imperative: Extractivism, Japan, and Holism   SECTION II: APPLICATIONS AND IMPLICATIONS  Chapter 6: Positive Education  Chapter 7: Automating Vulnerability: Sensing Interiors   Chapter 8: Hybrid Work: Automated for the People?   Chapter 9: Waveforms of Human Intention: Towards Everyday Neurophenomenology  Chapter 10: Selling Emotions: Moral Limits of Intimate Data Markets  Chapter 11: Uncertainty for Good: Inverting Automated Empathy  References","brand":"Oxford University Press Inc","offers":[{"title":"Default Title","offer_id":49399906140503,"sku":"9780197615553","price":22.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780197615553.jpg?v=1730469088"},{"product_id":"language-and-computers-9780748607853","title":"Language and Computers","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book is a first-stop introduction to corpus-based language research. It takes the reader systematically through the practical problems and benefits including the points to be reviewed before using computers, obtaining corpus material, the main analytical tools and the most important applications of computerised natural language processing. Each chapter offers guidance on programming where appropriate at a level suitable for readers with no prior experience, and provides exercises to help the reader to apply the principles covered. Case studies are used to show how the techniques are used in genuine research situations.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eWell illustrated ...The book contains much good practical advice for students. -- Chris Butler, University College of Ripon and York St John A useful and very accessible introduction to the use of nonlinguistic computational techniques in corpus analysis. -- Frank Van Eynde Well illustrated ...The book contains much good practical advice for students. A useful and very accessible introduction to the use of nonlinguistic computational techniques in corpus analysis.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eWhy use a computer?; first capture your data; examining the catch - the use of frequency lists; studying the environment - using concordances; the sociology of words - collocation analysis; putting them in their place - tagging, parsing and so on; the leading edge - applications of Natural Language Processing; case studies. Appendices: Programming languages for language programming; Awk - a very brief introduction; detailed programming examples.","brand":"Edinburgh University Press","offers":[{"title":"Default Title","offer_id":49404460958039,"sku":"9780748607853","price":29.45,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780748607853.jpg?v=1730486536"},{"product_id":"python-programming-for-linguistics-and-digital-humanities-9781119907947","title":"Python Programming for Linguistics and Digital","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eList of Figures xi\u003c\/p\u003e \u003cp\u003eAbout the Companion Website xii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Why Program? Why Python? 1\u003c\/p\u003e \u003cp\u003e1.2 Course Overview and Aims 4\u003c\/p\u003e \u003cp\u003e1.3 A Brief Note on the Exercises 5\u003c\/p\u003e \u003cp\u003e1.4 Conventions Used in this Book 6\u003c\/p\u003e \u003cp\u003e1.5 Installing Python 6\u003c\/p\u003e \u003cp\u003e1.5.1 Installing on Windows 6\u003c\/p\u003e \u003cp\u003e1.5.2 Installing on the Mac 7\u003c\/p\u003e \u003cp\u003e1.5.3 Installing on Linux 8\u003c\/p\u003e \u003cp\u003e1.6 Introduction to the Command Line\/Console\/Terminal 8\u003c\/p\u003e \u003cp\u003e1.6.1 Activating the Command Line on Windows 9\u003c\/p\u003e \u003cp\u003e1.6.2 Activating the Command Line on the Mac or Linux 9\u003c\/p\u003e \u003cp\u003e1.7 Editors and IDEs 10\u003c\/p\u003e \u003cp\u003e1.8 Installing and Setting Up WingIDE Personal 10\u003c\/p\u003e \u003cp\u003e1.9 Discussions 11\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Programming Basics I 15\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Statements, Functions, and Variables 15\u003c\/p\u003e \u003cp\u003e2.2 Data Types – Overview 17\u003c\/p\u003e \u003cp\u003e2.3 Simple Data Types 18\u003c\/p\u003e \u003cp\u003e2.3.1 Strings 18\u003c\/p\u003e \u003cp\u003e2.3.2 Numbers 20\u003c\/p\u003e \u003cp\u003e2.3.3 Binary Switches\/Values 21\u003c\/p\u003e \u003cp\u003e2.4 Operators – Overview 21\u003c\/p\u003e \u003cp\u003e2.4.1 String Operators 21\u003c\/p\u003e \u003cp\u003e2.4.2 Mathematical Operators 22\u003c\/p\u003e \u003cp\u003e2.4.3 Logical Operators 24\u003c\/p\u003e \u003cp\u003e2.5 Creating Scripts\/Programs 25\u003c\/p\u003e \u003cp\u003e2.6 Commenting Your Code 26\u003c\/p\u003e \u003cp\u003e2.7 Discussions 28\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Programming Basics II 33\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Compound Data Types 33\u003c\/p\u003e \u003cp\u003e3.2 Lists 35\u003c\/p\u003e \u003cp\u003e3.3 Simple Interaction with Programs and Users 37\u003c\/p\u003e \u003cp\u003e3.4 Problem Solving and Damage Control 38\u003c\/p\u003e \u003cp\u003e3.4.1 Getting Help from Your IDE 38\u003c\/p\u003e \u003cp\u003e3.4.2 Using the Debugger 39\u003c\/p\u003e \u003cp\u003e3.5 Control Structures 40\u003c\/p\u003e \u003cp\u003e3.5.1 Conditional Statements 41\u003c\/p\u003e \u003cp\u003e3.5.2 Loops 42\u003c\/p\u003e \u003cp\u003e3.5.3 while Loops 43\u003c\/p\u003e \u003cp\u003e3.5.4 for Loops 44\u003c\/p\u003e \u003cp\u003e3.5.5 Discussions 45\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Intermediate String Processing 53\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Understanding Strings 53\u003c\/p\u003e \u003cp\u003e4.2 Cleaning Up Strings 54\u003c\/p\u003e \u003cp\u003e4.3 Working with Sequences 55\u003c\/p\u003e \u003cp\u003e4.3.1 Overview 55\u003c\/p\u003e \u003cp\u003e4.3.2 Slice Syntax 56\u003c\/p\u003e \u003cp\u003e4.4 More on Tuples 57\u003c\/p\u003e \u003cp\u003e4.5 ‘Concatenating’ Strings More Efficiently 59\u003c\/p\u003e \u003cp\u003e4.6 Formatting Output 60\u003c\/p\u003e \u003cp\u003e4.6.1 Using the % Operator 60\u003c\/p\u003e \u003cp\u003e4.6.2 The format Method 61\u003c\/p\u003e \u003cp\u003e4.6.3 f- Strings 61\u003c\/p\u003e \u003cp\u003e4.6.4 Formatting Options 62\u003c\/p\u003e \u003cp\u003e4.7 Handling Case 62\u003c\/p\u003e \u003cp\u003e4.8 Discussions 63\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Working with Stored Data 71\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Understanding and Navigating File Systems 71\u003c\/p\u003e \u003cp\u003e5.1.1 Showing Folder Contents 72\u003c\/p\u003e \u003cp\u003e5.1.2 Navigating and Creating Folders 74\u003c\/p\u003e \u003cp\u003e5.1.3 Relative Paths 75\u003c\/p\u003e \u003cp\u003e5.2 Stored Data 76\u003c\/p\u003e \u003cp\u003e5.3 Opening and Closing Files 76\u003c\/p\u003e \u003cp\u003e5.3.1 File Opening Modes 77\u003c\/p\u003e \u003cp\u003e5.3.2 File Access Options 77\u003c\/p\u003e \u003cp\u003e5.4 Reading File Contents 78\u003c\/p\u003e \u003cp\u003e5.5 Error Handling 79\u003c\/p\u003e \u003cp\u003e5.6 Writing to Files 82\u003c\/p\u003e \u003cp\u003e5.7 Working with Folders and Paths 83\u003c\/p\u003e \u003cp\u003e5.7.1 The os Module 83\u003c\/p\u003e \u003cp\u003e5.7.2 The Path Object of the libpath Module 84\u003c\/p\u003e \u003cp\u003e5.8 Discussions 86\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Recognising and Working with Language Patterns 93\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 The re Module 93\u003c\/p\u003e \u003cp\u003e6.2 General Syntax 94\u003c\/p\u003e \u003cp\u003e6.3 Understanding and Working with the Match Object 94\u003c\/p\u003e \u003cp\u003e6.4 Character Classes 96\u003c\/p\u003e \u003cp\u003e6.5 Quantification 97\u003c\/p\u003e \u003cp\u003e6.6 Masking and Using Special Characters 98\u003c\/p\u003e \u003cp\u003e6.7 Regex Error Handling 98\u003c\/p\u003e \u003cp\u003e6.8 Anchors, Groups and Alternation 99\u003c\/p\u003e \u003cp\u003e6.9 Constraining Results Further 101\u003c\/p\u003e \u003cp\u003e6.10 Compilation Flags 101\u003c\/p\u003e \u003cp\u003e6.11 Discussions 102\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Developing Modular Programs 109\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Modularity 109\u003c\/p\u003e \u003cp\u003e7.2 Dictionaries 109\u003c\/p\u003e \u003cp\u003e7.3 User- defined Functions 111\u003c\/p\u003e \u003cp\u003e7.4 Understanding Modules 112\u003c\/p\u003e \u003cp\u003e7.5 Documenting Your Module 115\u003c\/p\u003e \u003cp\u003e7.6 Installing External Modules 116\u003c\/p\u003e \u003cp\u003e7.7 Classes and Objects 117\u003c\/p\u003e \u003cp\u003e7.7.1 Methods 118\u003c\/p\u003e \u003cp\u003e7.7.2 Class Schema 118\u003c\/p\u003e \u003cp\u003e7.8 Testing Modules 119\u003c\/p\u003e \u003cp\u003e7.9 Discussions 120\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Word Lists, Frequencies and Ordering 129\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction to Word and Frequency Lists 129\u003c\/p\u003e \u003cp\u003e8.2 Generating Word Lists 129\u003c\/p\u003e \u003cp\u003e8.3 Sorting Basics 130\u003c\/p\u003e \u003cp\u003e8.4 Generating Basic Word Frequency Lists 131\u003c\/p\u003e \u003cp\u003e8.5 Lambda Functions 132\u003c\/p\u003e \u003cp\u003e8.6 Discussions 134\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Interacting with Data and Users Through GUIs 143\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Graphical User Interfaces 143\u003c\/p\u003e \u003cp\u003e9.2 PyQt Basics 144\u003c\/p\u003e \u003cp\u003e9.2.1 The General Approach to Designing GUI- based Programs 144\u003c\/p\u003e \u003cp\u003e9.2.2 Useful PyQt Widgets 145\u003c\/p\u003e \u003cp\u003e9.2.3 A Minimal PyQt Program 146\u003c\/p\u003e \u003cp\u003e9.2.4 Deriving from a Main Window 148\u003c\/p\u003e \u003cp\u003e9.2.5 Working with Layouts 148\u003c\/p\u003e \u003cp\u003e9.2.6 Defining Widgets and Assigning Layouts 150\u003c\/p\u003e \u003cp\u003e9.2.7 Widget Properties, Methods and Signals 150\u003c\/p\u003e \u003cp\u003e9.2.8 Adding Interactive Functionality 152\u003c\/p\u003e \u003cp\u003e9.3 Designing More Advanced GUIs 153\u003c\/p\u003e \u003cp\u003e9.3.1 Actions 153\u003c\/p\u003e \u003cp\u003e9.3.2 Creating Menus, Tool and Status Bars 153\u003c\/p\u003e \u003cp\u003e9.3.3 Working with Files and Folder in PyQt 155\u003c\/p\u003e \u003cp\u003e9.4 Discussions 159\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Web Data and Annotations 171\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Markup Languages 171\u003c\/p\u003e \u003cp\u003e10.2 Brief Intro to HTML 172\u003c\/p\u003e \u003cp\u003e10.3 Using the urllib.request Module 174\u003c\/p\u003e \u003cp\u003e10.4 Extracting Text from Web Pages 177\u003c\/p\u003e \u003cp\u003e10.5 List and Dictionary Comprehension 178\u003c\/p\u003e \u003cp\u003e10.6 Brief Intro to XML 179\u003c\/p\u003e \u003cp\u003e10.7 Complex Regex Replacements Using Functions 182\u003c\/p\u003e \u003cp\u003e10.8 Brief Intro to the TEI Scheme 182\u003c\/p\u003e \u003cp\u003e10.8.1 The Header 183\u003c\/p\u003e \u003cp\u003e10.8.2 The Text Body 184\u003c\/p\u003e \u003cp\u003e10.9 Discussions 188\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Basic Visualisation 201\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Using Matplotlib for Basic Visualisation 201\u003c\/p\u003e \u003cp\u003e11.2 Creating Word Clouds 207\u003c\/p\u003e \u003cp\u003e11.3 Filtering Frequency Data Through Stop- Words 208\u003c\/p\u003e \u003cp\u003e11.4 Working with Relative Frequencies 210\u003c\/p\u003e \u003cp\u003e11.5 Comparing Frequency Data Visually 212\u003c\/p\u003e \u003cp\u003e11.6 Discussions 216\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Conclusion 227\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAppendix – Program Code 231\u003c\/p\u003e \u003cp\u003eIndex 273\u003c\/p\u003e","brand":"John Wiley and Sons Ltd","offers":[{"title":"Default Title","offer_id":49407188566359,"sku":"9781119907947","price":30.35,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119907947.jpg?v=1730498487"},{"product_id":"the-handbook-of-computational-linguistics-and-natural-language-processing-9781405155816","title":"The Handbook of Computational Linguistics and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP).  \u003cul\u003e \u003cli\u003eFeatures contributions by the top researchers in the field, reflecting the work that is driving the discipline forward\u003c\/li\u003e \u003cli\u003eIncludes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced\u003c\/li\u003e \u003cli\u003ePresents 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\u003c\/li\u003e \u003cli\u003eServes 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\u003c\/li\u003e \u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e“The overall evaluation is therefore definitely very good: the work is solid, complete and definitely an important reference for NLP and CL.”  (\u003ci\u003eLinguistlist\u003c\/i\u003e, 14 January 2014)\u003c\/p\u003e \u003cp\u003e“Altogether, this Handbookcovers a wide variety of topics in NLP and CL and, is of particular use to researchers in the field of MT. On a more general note, graduate students or novice researchers can utilise this book as a comprehensive starting point for their area of interest within NLP or CL … All in all, this is very well compiled book, which effectively balances the width and depth of theories and applications in two very diverse yet closely related fields of language research.”  (\u003ci\u003eMachine Translation\u003c\/i\u003e, 18 March 2012)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eList of Figures ix  \u003cp\u003eList of Tables xiv\u003c\/p\u003e \u003cp\u003eNotes on Contributors xv\u003c\/p\u003e \u003cp\u003ePreface xxiii\u003c\/p\u003e \u003cp\u003eIntroduction 1\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Formal Foundations 9\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1 Formal Language Theory 11\u003cbr\u003e \u003ci\u003eSHULY WINTNER\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Computational Complexity in Natural Language 43\u003cbr\u003e \u003ci\u003eIAN PRATT-HARTMANN\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 Statistical Language Modeling 74\u003cbr\u003e \u003ci\u003eCIPRIAN CHELBA\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 Theory of Parsing 105\u003cbr\u003e \u003ci\u003eMARK-JAN NEDERHOF AND GIORGIO SATTA\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Current Methods 131\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5 Maximum Entropy Models 133\u003cbr\u003e \u003ci\u003eROBERT MALOUF\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Memory-Based Learning 154\u003cbr\u003e \u003ci\u003eWALTER DAELEMANS AND ANTAL VAN DEN BOSCH\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 Decision Trees 180\u003cbr\u003e \u003ci\u003eHELMUT SCHMID\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 Unsupervised Learning and Grammar Induction 197\u003cbr\u003e \u003ci\u003eALEXANDER CLARK AND SHALOM LAPPIN\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Artificial Neural Networks 221\u003cbr\u003e \u003ci\u003eJAMES B. HENDERSON\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 Linguistic Annotation 238\u003cbr\u003e \u003ci\u003eMARTHA PALMER AND NIANWEN XUE\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 Evaluation of NLP Systems 271\u003cbr\u003e \u003ci\u003ePHILIP RESNIK AND JIMMY LIN\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Domains of Application 297\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12 Speech Recognition 299\u003cbr\u003e \u003ci\u003eSTEVE RENALS AND THOMAS HAIN\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 Statistical Parsing 333\u003cbr\u003e \u003ci\u003eSTEPHEN CLARK\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 Segmentation and Morphology 364\u003cbr\u003e \u003ci\u003eJOHN A. GOLDSMITH\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15 Computational Semantics 394\u003cbr\u003e \u003ci\u003eCHRIS FOX\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16 Computational Models of Dialogue 429\u003cbr\u003e \u003ci\u003eJONATHAN GINZBURG AND RAQUEL FERNÁNDEZ\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17 Computational Psycholinguistics 482\u003cbr\u003e \u003ci\u003eMATTHEW W. 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Understand the steps to build a machine learning pipelineBuild your pipeline using components from TensorFlow ExtendedOrchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow PipelinesWork with data using TensorFlow Data Validation and TensorFlow TransformAnalyze a model in detail using TensorFlow Model AnalysisExamine fairness and bias in your model performanceDeploy models with TensorFlow Serving or TensorFlow Lite for mobile devicesLearn privacy-preserving machine learning techniques","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":49409194721623,"sku":"9781492053194","price":47.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781492053194.jpg?v=1730505875"},{"product_id":"my-child-the-algorithm-9781593767808","title":"My Child the Algorithm","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eHannah Silva's\u003ci\u003e My Child, the Algorithm\u003c\/i\u003e, 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, \u003ci\u003eKnocking Myself Up\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003ci\u003eMy Child, the Algorithm\u003c\/i\u003e 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.\u003cbr\u003e\u003cbr\u003eHannah 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.","brand":"Catapult","offers":[{"title":"Default Title","offer_id":49410458845527,"sku":"9781593767808","price":11.69,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781593767808.jpg?v=1730510301"},{"product_id":"machine-translation-and-global-research-towards-improved-machine-translation-literacy-in-the-scholarly-community-9781787567221","title":"Machine Translation and Global Research: Towards","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eIn the global research community, English has become the main language of scholarly publishing in many disciplines. At the same time, online machine translation systems have become increasingly easy to access and use. Is this a researcher’s match made in heaven, or the road to publication perdition?  \u003cbr\u003e  Here Lynne Bowker and Jairo Buitrago Ciro introduce the concept of machine translation literacy, a new kind of literacy for scholars and librarians in the digital age. For scholars, they explain how machine translation works, how it is (or could be) used for scholarly communication, and how both native and non-native English-speakers can write in a translation-friendly way in order to harness its potential. Native English speakers can continue to write in English, but expand the global reach of their research by making it easier for their peers around the world to access and understand their works, while non-native English speakers can write in their mother tongues, but leverage machine translation technology to help them produce draft publications in English. For academic librarians, the authors provide a framework for supporting researchers in all disciplines as they grapple with producing translation-friendly texts and using machine translation for scholarly communication—a form of support that will only become more important as campuses become increasingly international and as universities continue to strive to excel on the global stage.  \u003cbr\u003e  \u003ci\u003eMachine Translation and Global Research\u003c\/i\u003e is a must-read for scientists, researchers, students, and librarians eager to maximize the global reach and impact of any form of scholarly work.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eBowker and Ciro describe ways that machine translation is used in the context of scholarly communication, and suggest how to use it more effectively. Getting an online machine translation is easy, they say, but it is often more complex to make critical and effective use of a machine translation as part of the scholarly communication process. They cover scholarly communication, machine translation, expanding the reach of knowledge through translation-friendly writing, some wider implications of using machine translation for scholarly communication, and towards a framework for machine translation literacy. -- Annotation ©2019 * (protoview.com) *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction Chapter 1. Scholarly Communication  Chapter 2. Machine Translation  Chapter 3. Expanding the Reach of Knowledge through Translation-Friendly Writing  Chapter 4. Some Wider Implications of Using Machine Translation for Scholarly Communication  Chapter 5. Towards a Framework for Machine Translation Literacy","brand":"Emerald Publishing Limited","offers":[{"title":"Default Title","offer_id":49412437803351,"sku":"9781787567221","price":64.59,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781787567221.jpg?v=1730516768"},{"product_id":"an-elementary-introduction-to-the-wolfram-language-9781944183073","title":"An Elementary Introduction to the Wolfram","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"Wolfram Media Inc","offers":[{"title":"Default Title","offer_id":49414874857815,"sku":"9781944183073","price":21.21,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781944183073.jpg?v=1730525176"},{"product_id":"towards-open-and-trustworthy-digital-societies-23rd-international-conference-on-asia-pacific-digital-libraries-icadl-2021-virtual-event-december-1-3-2021-proceedings-9783030916688","title":"Towards Open and Trustworthy Digital Societies:","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book constitutes the refereed proceedings of the 23rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, which was held in December 2021. Due to COVID-19 pandemic the conference was held virtually.\u003cp\u003eThe 17 full, 14 short, and 5 practice papers presented in this volume were carefully reviewed and selected from 87 submissions. The papers were organized in topical sections named: Knowledge Discovery from Digital Collections; Search for Better User Experience; Information Extraction; Multimedia; Text Classification and Matching; Data Infrastructure for Digital Libraries; Data Modeling; Neural-based Learning.\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":49415659127127,"sku":"9783030916688","price":89.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030916688.jpg?v=1730527685"},{"product_id":"influencing-factors-in-speech-quality-assessment-using-crowdsourcing-9783030933098","title":"Influencing Factors in Speech Quality Assessment","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book evaluates the impact of relevant factors affecting the results of speech quality assessment studies carried out in crowdsourcing. The author describes how these factors relate to the test structure, the effect of environmental background noise, and the influence of language differences. He details multiple user-centered studies that have been conducted to derive guidelines for reliable collection of speech quality scores in crowdsourcing. Specifically, different questions are addressed such as the optimal number of speech samples to include in a listening task, the influence of the environmental background noise in the speech quality ratings, as well as methods for classifying background noise from web audio recordings, or the impact of language proficiency in the user perception of speech quality. Ultimately, the results of these studies contributed to the definition of the ITU-T Recommendation P.808 that defines the guidelines to conduct speech quality studies in crowdsourcing.\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction.2. Related Work.3. Method.4. Test Structure.5. Impact of Background Noise.6. Influence of Language.7. Conclusion.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":49415662076247,"sku":"9783030933098","price":75.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"logic-language-information-and-computation-28th-international-workshop-wollic-2022-iasi-romania-september-20-23-2022-proceedings-9783031152979","title":"Logic, Language, Information, and Computation:","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eEdited in collaboration with FoLLI, the Association of Logic, Language and Information this book constitutes the refereed proceedings of the 28th Workshop on Logic, Language, Information and Computation, WoLLIC 2022, Iasi, Romania, in September 2022. The 25 full papers presented included with 8 extra abstracts, 5 invited talks and 3 tutorials were fully reviewed and selected from 46 submissions. The conference aims fostering interdisciplinary research in pure and applied logic.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eProof theory,.- Model theory.- Modal and temporal logics.- Automated reasoning.-Constraint and logic programming.- Constructive mathematics.- Equational logic and rewriting.- Finite Model Theory.- Descriptive complexity,.- Higher order logic.- Programming logic.- Model checking.- Type theory.- Lambda calculus.- Semantics of programming languages.- Computational linguistics.-Language and computation.- Logic and language.","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415688978775,"sku":"9783031152979","price":42.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031152979.jpg?v=1730527796"},{"product_id":"revealing-media-bias-in-news-articles-nlp-techniques-for-automated-frame-analysis-9783031176951","title":"Revealing Media Bias in News Articles: NLP","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis open access book presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event. The approach named person-oriented framing analysis identifies the coverage’s different perspectives on the event by assessing how articles portray the persons involved in the event. In contrast to prior automated approaches, the identified frames are more meaningful and substantially present in person-oriented news coverage. \u003c\/p\u003e  \u003cp\u003eThe book is structured in seven chapters: Chapter 1 presents a few of the severe problems caused by slanted news coverage and identifies the research gap that motivated the research described in this thesis. Chapter 2 discusses manual analysis concepts and exemplary studies from the social sciences and automated approaches, mostly from computer science and computational linguistics, to analyze and reveal media bias. This way, it identifies the strengths and weaknesses of current approaches for identifying and revealing media bias. Chapter 3 discusses the solution design space to address the identified research gap and introduces person-oriented framing analysis (PFA), a new approach to identify substantial frames and to reveal slanted news coverage. Chapters 4 and 5 detail target concept analysis and frame identification, the first and second component of PFA. Chapter 5 also introduces the first large-scale dataset and a novel model for target-dependent sentiment classification (TSC) in the news domain. Eventually, Chapter 6 introduces Newsalyze, a prototype system to reveal biases to non-expert news consumers by using the PFA approach. In the end, Chapter 7 summarizes the thesis and discusses the strengths and weaknesses of the thesis to derive ideas for future research on media bias.\u003c\/p\u003e  This book mainly targets researchers and graduate students from computer science, computational linguistics, political science, and further social sciences who want to get an overview of the relevant state of the art in the other related disciplines and understand and tackle the issue of bias from a more effective, interdisciplinary viewpoint.\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction.- 2. Media Bias Analysis.- 3. Person-Oriented Framing Analysis.- 4. Target Concept Analysis.- 5. Frame Analysis.- 6. Prototype.- 7. Conclusion. ","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415693009239,"sku":"9783031176951","price":33.24,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031176951.jpg?v=1730527807"},{"product_id":"chatbot-research-and-design-6th-international-workshop-conversations-2022-amsterdam-the-netherlands-november-22-23-2022-revised-selected-papers-9783031255809","title":"Chatbot Research and Design: 6th International","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book constitutes the proceedings of the 6th International Workshop on Chatbot Research and Design, CONVERSATIONS 2022, which was held during November 2022.\u003cbr\u003eThe 12 papers included in this volume were carefully reviewed and selected from a total of 27 submissions. They were organized in topical sections named: chatbot users and user experience; chatbot design and applications.\u003cp\u003e\u003c\/p\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415702085975,"sku":"9783031255809","price":47.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031255809.jpg?v=1730527840"},{"product_id":"chinese-lexical-semantics-23rd-workshop-clsw-2022-virtual-event-may-14-15-2022-revised-selected-papers-part-ii-9783031289552","title":"Chinese Lexical Semantics: 23rd Workshop, CLSW","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThe two-volume set LNAI 13495 and LNAI 13496, constitute the refereed post-workshop proceedings of the 23rd Chinese Lexical Semantics Workshop, CLSW 2022, held as a virtual event, during May 14-15, 2022.\u003c\/p\u003e  \u003cp\u003eIn total the two-volume set includes 39 full papers and 19 short papers which were carefully reviewed and selected from 214 submissions. They are organized in the following topical sections: lexical semantics; corpus linguistics; general linguistics, lexical resources; computational linguistics, applications of natural language processing.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eSemantic Prosody: The Study of Gei in BA and BEI Constructions.- Corpus-Based Lexical Features and Thematic Analysis of China's Five-Year Plan for the 21st Century.- Corpus Construction  for Generating Knowledge Graph  of Sichuan Cuisine.- Building a Semantically Annotated Corpus of Chinese Directional Complements.- BBAE: a Method for Few-Shot Charge Prediction with Data Augmentation and Neural Network.- A Preliminary Quantitative Investigation of Chinese Monosyndetic Coordinators.- Frequency in Chinese Ballad Song Lyrics: A Quantitative Morpheme-Based Study.- Gender-Related Use of Tonal Patterns in Mandarin Chinese: The Case of Sentence-Final Particle ma.- A Quantitative Study on the Low-Degree Adverb “Shaowei”--A Stylistic Perspective.- The Relationship of Lexical Richness to the Quality of CSL Writings.- Research on Korean \"Long-before-Short\" Preference from the Perspective of Dependency Distance.- A Dependency Structure Annotation for Modality in Chinese News Articles.- How Do People React to COVID-19 Vaccination? A Corpus-based Study of Macau Netizens’ Online Comments.- REFORM IS A JOURNEY: Conceptualizing China’s Reform and Opening-up in the Official News Discourse.- The Emotion Code in Sensory Modalities: An investigation of the relationship between sensorimotor dimensions and emotional valence-arousal.- From Genitive to Conjunctive: Coordinator li55 in Chongqing Mandarin.- The Prediction Function of Collocations on the Quality Assessment of Chinese Second Language Learners’ Oral Production.- Verb Raising and the Construction Mechanism of Synthetic Compounds.- The Construction of Grammatical Synonym Resources of Disyllabic Verbs in Modern Chinese.- Extraction and Application of Verb Event Structure Based on Grammatical Knowledge-Base of Contemporary Chinese(GKB).- Semantic Classification of Adverbial Nouns Based on Syntactic Treebank and Construction of Collocation Da-tabase.- A Framework for Dictionary Development: Building Domain Dictionary for Legal Field.- RoBERTa: An Efficient Dating Method of Ancient Chinese Texts.- Building a Corpus for Chinese Causality Extraction in Futures Domain.- Research on Hotspots of Educational Application of Natural Language Processing Based on LDA Topic Model.- A Metrological Study on the Spatial Narrative of the Qishu Genre: Take A Dream of Red Mansions and Water Margin as Examples.- Chinese Argument Identification Based on Bert.- Irony Recognition in Chinese Text Based on Linguistic Features and  Attention Mechanism.- A Phrase Disambiguation Method of “Quanbu V de N” Based on SBERT Model and Syntactic Rule.- Automatic Recognition of Verb-complement Separable Words Based on BCC.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415705330007,"sku":"9783031289552","price":56.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031289552.jpg?v=1730527852"},{"product_id":"combinatorics-on-words-14th-international-conference-words-2023-umea-sweden-june-12-16-2023-proceedings-9783031331794","title":"Combinatorics on Words: 14th International","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book constitutes the refereed proceedings of the 14th International Conference on Combinatorics on Words, WORDS 2023, held in Umeå, Sweden, during June 12–16, 2023.\u003cbr\u003eThe 19 contributed papers presented in this book were carefully reviewed and selected from 28 submissions. In addition, the volume also contains 3 invited papers. WORDS  is the main conference series devoted to combinatorics on words. This area is connected to several topics from computer science and mathematics, including string algorithms, automated proofs, discrete dynamics, number theory and, of course, classical combinatorics\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e​Invited Papers: \u003c\/b\u003eMinimal Complexities for Infinite Words Written with d Letters.- Alternate Base Numeration Systems.- On the number of distinct squares in finite sequences: some old and new results. \u003cb\u003eContributed Papers: \u003c\/b\u003eRanking and Unranking k-Subsequence Universal Words.- Longest common subsequence with gap constraints.- On Substitutions Preserving their Return Sets.- Recurrence and frequencies.- Sturmian and infinitely desubstitutable words accepted by an ω-automaton.- String attractors for factors of the Thue-Morse word.- Critical exponent of Arnoux-Rauzy sequences.- On a class of 2-balanced sequences.- Order conditions for languages.- On Sensitivity of Compact Directed Acyclic Word Graphs.- Smallest and Largest Block Palindrome Factorizations.- String attractors of fixed points of k-bonacci-like morphisms.- Magic Numbers in Periodic Sequences.- Dyck Words, Pattern Avoidance, and Automatic Sequences.- Rudin-Shapiro Sums Via Automata Theory and Logic.- Automaticity and Parikh-collinear morphisms.- On the solution sets of entire systems of word equations.- On arch factorization and subword universality for words and compressed words.- Characteristic sequences of the sets of sums of squares as columns of cellular automata.","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415709917527,"sku":"9783031331794","price":56.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031331794.jpg?v=1730527865"},{"product_id":"developments-in-language-theory-27th-international-conference-dlt-2023-umea-sweden-june-12-16-2023-proceedings-9783031332630","title":"Developments in Language Theory: 27th","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book constitutes the refereed proceedings of the 27th International Conference on Developments in Language Theory, DLT 2023, held in Umeå, Sweden, during June 12–16, 2023. \u003c\/p\u003eThe 20 full papers included in this book were carefully reviewed and selected from 32 submissions (31 regular ones and one invited).The DLT conference series provides a forum for presenting current developments informal languages and automata. Its scope is very general and includes, among others, the following topics and areas: grammars, acceptors and transducers for words; trees and graphs; relations between formal languages and artificial neural networks; algebraic theories of automata; algorithmic, combinatorial, and algebraic properties of words and languages; variable length codes; symbolic dynamics; cellular automata; groups and semigroups generated by automata; polyominoes and multidimensional patterns; decidability questions; image manipulation and compression; efficient text algorithms; relationships to cryptography, concurrency, complexity theory, and logic; bio-inspired computing; and quantum computing.\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eTransducers and the Power of Delay.- When the Map is More Exact than the Terrain.- Formal Languages and the NLP Black Box.- On Structural Tractability Parameters for Hard String Problems.- Jumping Automata over Infinite Words.- Isometric Words based on Swap and Mismatch Distance.- Set Augmented Finite Automata over Infinite Alphabets.- Fast detection of specific fragments against a set of sequences.- Weak Inverse Neighborhoods of Languages.- The exact state complexity for the composition of Root and reversal.- Bit catastrophes for the Burrows-Wheeler Transform.- The Domino problem is undecidable on every rhombus subshift.- Synchronization of Parikh Automata.- Completely Distinguishable Automata and the Set of Synchronizing Words.- Zielonka DAG Acceptance and Regular Languages over Infinite Words.- On Word Representable and Multi-Word Representable Graphs.- On the Simon's Congruence Neighborhood of Languages.- Tree-Walking-Storage Automata.- Rewriting rules for arithmetics in alternate base systems.- Synchronizing Automata with Coinciding Cycles.- Approaching Repetition Thresholds Via Local Resampling and Entropy Compression.- Languages Generated by Conjunctive Query Fragments of FC[REG].- Groups whose word problems are accepted by abelian G-automata.\u003cbr\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415709950295,"sku":"9783031332630","price":47.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031332630.jpg?v=1730527864"},{"product_id":"speech-and-language-technologies-for-low-resource-languages-first-international-conference-spelll-2022-kalavakkam-india-november-23-25-2022-proceedings-9783031332302","title":"Speech and Language Technologies for Low-Resource","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book constitutes refereed proceedings from the First International Conference on Speech and Language Technologies for Low-resource Languages, SPELLL 2022, held in Kalavakkam, India, in November 2022. \u003cbr\u003eThe 25 presented papers were thoroughly reviewed and selected from 70 submissions. The papers are organised in the following topical sections: ​language resources; language technologies; speech technologies; multimodal data analysis; fake news detection in low-resource languages (regional-fake); low resource cross-domain, cross-lingualand cross-modal offensie content analysis (LC4).\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eLanguage Resources.- Language Technologies.- Speech Technologies.- Multimodal data analysis.- Fake News Detection in Low-Resource Languages (Regional-Fake).- Low Resource Cross-Domain, Cross-Lingualand Cross-Modal Offensie Content Analysis (LC4).","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415710015831,"sku":"9783031332302","price":61.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031332302.jpg?v=1730527864"},{"product_id":"natural-language-processing-and-information-systems-28th-international-conference-on-applications-of-natural-language-to-information-systems-nldb-2023-derby-uk-june-21-23-2023-proceedings-9783031353192","title":"Natural Language Processing and Information","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book constitutes the refereed proceedings of the 28th International Conference on Applications of Natural Language to Information Systems, NLDB 2023, held in Derby, UK, in June 21–23, 2023\u003c\/p\u003e\u003cp\u003eThe 31 full papers and 14 short papers included in this book were carefully reviewed and selected from 89 submissions. They focus on the developments of the application of natural language to databases and information systems in the wider meaning of the term.\u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eLarge Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification.- How Challenging is Multimodal Irony Detection?.- Less is more: A Prototypical Framework for Efficient Few-Shot Named Entity Recognition.- Don’t Lose the Message while Paraphrasing: A Study on Content Preserving Style Transfer.- A Review of Parallel Corpora for Automatic Text Simplification. Key Challenges Moving Forward.- Explaining a Deep Learning Model for Aspect-Based Sentiment Classification Using Post-hoc Local Classifiers.- Arabic Privacy Policy Corpus and Classification.- SmartEDU: Accelerating Slide Deck Production with Natural Language Processing.- Explainable Integration of Knowledge Graphs using Large Language Models.- Cross-domain and cross-language irony detection: The impact of bias on models’ generalization.- Prompt and Instruction-Based Tuning for Response Generation in Conversational Question Answering.- IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation      of the Quran.- Comparing object recognition models and studying hyperparameter selection for the detection of bolts.- Morphosyntactic Evaluation for Text Summarization in Morphologically Rich Languages: A Case Study for Turkish.- Building Knowledge Graphs in Heliophysics and Astrophysics.- Text to Image Synthesis Using Bridge Generative Adversarial Network and Char CNN Model.- Evaluation of transformer-based models for punctuation and capitalization restoration in Spanish and Portuguese.- Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity Recognition.- Could KeyWord Masking strategy improve language model?.- Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation.- Node-Weighted Centrality Ranking for Unsupervised Long Document Summarization.- Characterization of the city of the future from a science fiction corpus.- On the Rule-based Extraction of Statistics Reported in Scientific Papers.- GRAM: Grammar-Based Refined-Label Representing Mechanism in the Hierarchical Semantic  Parsing Task.- Expanding Domain-specific Knowledge Graphs with Unknown Facts .- Knowledge Graph Representation Learning via Generated Descriptions.- LonXplain: Lonesomeness as a Consequence of Mental Disturbance in Reddit Posts.- A Comparative Study of Evaluation Metrics for Long-Document Financial Narrative Summarization with Transformers.- Effective Information Retrieval, Question Answering and Abstractive Summarization on Large-scale Biomedical Document Corpora.- Abstractive Summarization Based Question-Answer System for Structural Information.- Adversarial Capsule Networks for Romanian Satire Detection and Sentiment Analysis.- A Few-shot Approach to Resume Information Extraction via Prompts.- Decoding Strategies for Code Conciseness and Efficiency in Transformer-Generated Programs.- SP-BERT: A Language Model for Political Text in Scandinavian Languages.- Improving Context-Awareness on Multi-Turn Dialogue Modeling with Extractive Summarization Techniques.- Document Knowledge Transfer for Aspect-Based Sentiment Classification Using a Left-Center-Right Separated Neural Network with Rotatory Attention.- Argument and counter-argument generation: a critical survey.- Novel Benchmark Data Set for Automatic Error Detection and Correction.- Weakly-Supervised Multimodal Learning for Predicting the Gender of Twitter Users.- Cross-Domain Toxic Spans Detection.- How shall a machine call a thing?.- Detecting Artificially Generated Academic Text: the Importance of Mimicking Human Utilization of Large Language Models.- Leveraging Small-BERT and Bio-BERT for Abbreviation Identification in Scientific Text.- RoBERTweet: A BERT Language Model for Romanian Tweets.- Evaluating the Effect of Letter Case on Named Entity Recognition Performance. ","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415711949143,"sku":"9783031353192","price":66.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031353192.jpg?v=1730527871"},{"product_id":"verstellungen-in-inkriminierten-schreiben-eine-linguistische-analyse-verstellten-sprachverhaltens-in-erpresserschreiben-und-anderen-inkriminierten-texten-9783658243234","title":"Verstellungen in inkriminierten Schreiben: Eine","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eSprachliche Verstellungen in inkriminierten Texten wie Erpresserbriefen und Drohschreiben sind ein Phänomen, mit dem Gutachter\/innen – beispielsweise im Rahmen von polizeilichen Ermittlungen – immer wieder konfrontiert werden. Um ihre Identität zu verschleiern, verfremden die Autor\/innen dieser inkriminierten Texte ihren Sprachstil oder ahmen den Sprachgebrauch anderer Personen und Personengruppen nach. In der forensisch-linguistischen Forschungsliteratur werden diese Verstellungen häufig genannt, Gegenstand wissenschaftlicher Untersuchungen waren sie jedoch selten, so dass bisher nur wenig über sie bekannt war.\u003cbr\u003eDiese Arbeit widmet sich diesem Forschungsdesiderat mit dem Ziel, anhand eines Datenkorpus des Bundeskriminalamtes Merkmale von sprachlichen Verstellungen in inkriminierten Texten herauszuarbeiten, damit sie besser erkannt und adäquat beschrieben werden können. Die Untersuchung richtet sich vor allem an Personen, die in ihrer Arbeit mit inkriminierten Texten befasst sind.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Einleitung.- 2. Theoretischer Rahmen.- 3. Forschungsstand.- 4. Datenkorpus.- 5. Methoden der Analyse.- 6. Analyseergebnisse.- 7. Zusammenfassung und Diskussion der Ergebnisse.- 8. Literaturverzeichnis.- Anhang.","brand":"Springer-Verlag Berlin and Heidelberg GmbH \u0026 Co. KG","offers":[{"title":"Default Title","offer_id":49420124225879,"sku":"9783658243234","price":32.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"sentimental-analysis-and-deep-learning-proceedings-of-icsadl-2021-9789811651564","title":"Sentimental Analysis and Deep Learning:","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book gathers selected papers presented at the International Conference on Sentimental Analysis and Deep Learning (ICSADL 2021), jointly organized by Tribhuvan University, Nepal; Prince of Songkla University, Thailand; and Ejesra during June, 18–19, 2021. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes. Meanwhile, deep learning emerges as the revolutionary paradigm with its extensive data-driven representation learning architectures. This book discusses all theoretical aspects of sentimental analysis, deep learning and related topics.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eAnalysis of Healthcare Industry Using Machine Learning Approach: A Case Study in Bengaluru Region.- Dynamic Document Localization for Ecient Mining.- SentiSeries: A Trilogy of Customer Reviews, Sentiment Analysis and Time Series.- Video Summarization using Fully Convolutional Residual Dense Network.- An Efficient Deep Learning Approach for Detecting Pneumonia Using the Convolutional Neural Network.- QMCDS: Quantum Memory for Cloud Data Storage.- A Study towards Bangla Fake News Detection using Machine Learning and Deep Learning.- A Deep Learning Approach to Analyze the Propagation of Pandemic in America.- Graph Convolution Based Joint Learning of Rumour with Content, User Credibility, Propagation Context and Cognitive as well as Emotion Signals.- Deep Learning based Real Time Object Classification and Recognition using Supervised Learning Approach.","brand":"Springer Verlag, Singapore","offers":[{"title":"Default Title","offer_id":49427830407511,"sku":"9789811651564","price":179.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9789811651564.jpg?v=1730565823"},{"product_id":"netzbasierte-ansatze-zur-naturlichsprachlichen-informationsverarbeitung-9783658372835","title":"Netzbasierte Ansätze zur natürlichsprachlichen","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eFür Leser, die bereits die Grundlagen der Wissensverarbeitung und Computernetzwerke beherrschen, gibt das Buch einen Überblick über innovative Verfahren, die die automatisierte Suche, Recherche, Klassifikation und Verwaltung von Texten im Kontext dezentraler Systeme und vor allem im WWW erlauben. Besondere Aufmerksamkeit wird dabei auf eine personalisierte Verarbeitung gerichtet, die auch zeitliche Aspekte, wie z. B. das digitale Vergessen, einbeziehen. An vielen Stellen werden auf interessante und neuartige Art und Weise Analogien aus anderen Wissensgebieten, so z. B. zur Verarbeitung von Informationen und zum Lernen im menschlichen Gehirn sowie der Natur schlechthin genutzt.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eWissensverarbeitung im menschlichen Gehirn - Lernen - Netzwerke für die Textanalyse - Digitale Updates und digitales Vergessen - Exploration von Netzwerkstrukturen - Konzepte des Text Minings in dezentralen Systemen - Informationsmanagement im Web","brand":"Springer Fachmedien Wiesbaden","offers":[{"title":"Default Title","offer_id":50471227195735,"sku":"9783658372835","price":26.59,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783658372835.jpg?v=1744900723"},{"product_id":"ai-horizons-9781501521690","title":"AI Horizons","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"Mercury Learning and Information","offers":[{"title":"Default Title","offer_id":50578124734807,"sku":"9781501521690","price":38.67,"currency_code":"GBP","in_stock":false}]},{"product_id":"computational-analysis-and-understanding-of-natural-languages-principles-methods-and-applications-9780444640420","title":"Computational Analysis and Understanding of","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Linguistics: Core Concepts and Principles 2. Grammars 3. Open-Source Libraries, Application Frameworks, Workflow Systems, and Other Resources 4. Mathematical Essentials 5. Probability 6. Inference and Prediction Methods 7. Random Processes 8. Bayesian Methods 9. Machine Learning 10. Artificial Neural Networks for Natural Language Processing 11. Information Retrieval 12. Language Core Tasks 1 13. Language Core Tasks 2 14. Language Understanding Applications 1 15. Language Understanding Applications 2 16. Deep Learning for Natural Language Processing 17. Text Mining for Modeling Cyberattacks 18. World Languages and Crosslinguistics 19. Linguistic Elegance of the Languages of South India 20. Current Trends and Open Problems","brand":"Elsevier Science","offers":[{"title":"Default Title","offer_id":51018240819543,"sku":"9780444640420","price":180.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780444640420.jpg?v=1750776134"},{"product_id":"navigating-the-web-9781009114134","title":"Navigating the Web","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis Element presents an alternative eye tracking methodology for investigating translators' web search behaviour as well as a systematic approach to gauging the reasoning behind translators' highly complex and context-dependent interaction with search engines and the Web.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction; 2. Existing studies; 3. Methodology; 4. Findings and discussion; 5. Conclusion; References.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":51018593075543,"sku":"9781009114134","price":16.15,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781009114134.jpg?v=1750777450"},{"product_id":"advancing-natural-language-processing-in-educational-assessment-9781032244525","title":"Advancing Natural Language Processing in","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cem\u003eAdvancing Natural Language Processing in Educational Assessment\u003c\/em\u003e examines the use of natural language technology in educational testing, measurement, and assessment. Recent developments in natural language processing (NLP) have enabled large-scale educational applications, though scholars and professionals may lack a shared understanding of the strengths and limitations of NLP in assessment as well as the challenges that testing organizations face in implementation. This first-of-its-kind book provides evidence-based practices for the use of NLP-based approaches to automated text and speech scoring, language proficiency assessment, technology-assisted item generation, gamification, learner feedback, and beyond. Spanning historical context, validity and fairness issues, emerging technologies, and implications for feedback and personalization, these chapters represent the most robust treatment yet about NLP for education measurement researchers, psychometricians, testing profe\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003ePreface \u003c\/p\u003e\u003cp\u003eby Victoria Yaneva and Matthias von Davier\u003c\/p\u003e\u003cp\u003eSection I: Automated Scoring\u003c\/p\u003e\u003cp\u003eChapter 1: The Role of Robust Software in Automated Scoring \u003c\/p\u003e\u003cp\u003eby Nitin Madnani, Aoife Cahill, and Anastassia Loukina\u003c\/p\u003e\u003cp\u003eChapter 2: Psychometric Considerations when Using Deep Learning for Automated Scoring \u003c\/p\u003e\u003cp\u003eby Susan Lottridge, Chris Ormerod, and Amir Jafari\u003c\/p\u003e\u003cp\u003eChapter 3: Speech Analysis in Assessment \u003c\/p\u003e\u003cp\u003eby Jared C. Bernstein and Jian Cheng\u003c\/p\u003e\u003cp\u003eChapter 4: Assessment of Clinical Skills: A Case Study in Constructing an NLP-Based Scoring System for Patient Notes \u003c\/p\u003e\u003cp\u003eby Polina Harik, Janet Mee, Christopher Runyon, and Brian E. Clauser\u003c\/p\u003e\u003cp\u003eSection II: Item Development\u003c\/p\u003e\u003cp\u003eChapter 5: Automatic Generation of Multiple-Choice Test Items from Paragraphs Using Deep Neural Networks \u003c\/p\u003e\u003cp\u003eby Ruslan Mitkov, Le An Ha, Halyna Maslak, Tharindu Ranasinghe, and Vilelmini Sosoni\u003c\/p\u003e\u003cp\u003eChapter 6: Training Optimus Prime, M.D.: A Case Study of Automated Item Generation using Artificial Intelligence – From Fine-Tuned GPT2 to GPT3 and Beyond \u003c\/p\u003e\u003cp\u003eby Matthias von Davier\u003c\/p\u003e\u003cp\u003eChapter 7: Computational Psychometrics for Digital-first Assessments: A Blend of ML and Psychometrics for Item Generation and Scoring \u003c\/p\u003e\u003cp\u003eby Geoff LaFlair, Kevin Yancey, Burr Settles, Alina A von Davier\u003c\/p\u003e\u003cp\u003eSection III: Validity and Fairness\u003c\/p\u003e\u003cp\u003eChapter 8: Validity, Fairness, and Technology-based Assessment \u003c\/p\u003e\u003cp\u003eby Suzanne Lane\u003c\/p\u003e\u003cp\u003eChapter 9: Evaluating Fairness of Automated Scoring in Educational Measurement \u003c\/p\u003e\u003cp\u003eby Matthew S. Johnson and Daniel F. McCaffrey\u003c\/p\u003e\u003cp\u003eSection IV: Emerging Technologies\u003c\/p\u003e\u003cp\u003eChapter 10: Extracting Linguistic Signal from Item Text and Its Application to Modeling Item Characteristics \u003c\/p\u003e\u003cp\u003eby Victoria Yaneva, Peter Baldwin, Le An Ha, and Christopher Runyon\u003c\/p\u003e\u003cp\u003eChapter 11: Stealth Literacy Assessment: Leveraging Games and NLP in iSTART \u003c\/p\u003e\u003cp\u003eby Ying Fang, Laura K. Allen, Rod D. Roscoe, and Danielle S. McNamara\u003c\/p\u003e\u003cp\u003eChapter 12: Measuring Scientific Understanding Across International Samples: The Promise of Machine Translation and NLP-based Machine Learning Technologies \u003c\/p\u003e\u003cp\u003eby Minsu Ha and Ross H. Nehm\u003c\/p\u003e\u003cp\u003eChapter 13: Making Sense of College Students’ Writing Achievement and Retention with Automated Writing Evaluation \u003c\/p\u003e\u003cp\u003eby Jill Burstein, Daniel McCaffrey, Steven Holtzman \u0026amp; Beata Beigman Klebanov\u003c\/p\u003e\u003cp\u003eContributor Biographies\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":51018919706967,"sku":"9781032244525","price":38.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781032244525.jpg?v=1750778665"},{"product_id":"computerassisted-literary-translation-9781032413006","title":"ComputerAssisted Literary Translation","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003eThe 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. \u003c\/p\u003e\u003cp\u003eAs 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.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction \u003c\/p\u003e\u003cp\u003eANDREW ROTHWELL, ANDY WAY AND ROY YOUDALE\u003c\/p\u003e\u003cp\u003ePart 1: The Automated and Post-Edited Machine Translation of Literature\u003c\/p\u003e\u003cp\u003e1 Literary-Adapted Machine Translation in a Well-Resourced Language Pair: Explorations with More Data and Wider Contexts\u003c\/p\u003e\u003cp\u003eANTONIO TORAL, ANDREAS VAN CRANENBURGH, AND TIA NUTTERS\u003c\/p\u003e\u003cp\u003e2 ‘I Am a Bit Surprised’: Literary Translation and Post-Editing Processes Compare\u003c\/p\u003e\u003cp\u003eWALTRAUD KOLB\u003c\/p\u003e\u003cp\u003e3 Mark My Keywords: A Translator-Specific Exploration of Style in Literary Machine Translation\u003c\/p\u003e\u003cp\u003eMARION WINTERS AND DOROTHY KENNY\u003c\/p\u003e\u003cp\u003ePart 2: Machine Translation Applications in Literary Translation\u003c\/p\u003e\u003cp\u003e4 MT and CAT: Challenges, Irrelevancies or Opportunities for Literary Translation?\u003c\/p\u003e\u003cp\u003eJAMES LUKE HADLEY\u003c\/p\u003e\u003cp\u003e5 Retranslating Proust Using CAT, MT and Other Tools\u003c\/p\u003e\u003cp\u003eANDREW ROTHWELL\u003c\/p\u003e\u003cp\u003e6 Author-Tailored Neural Machine Translation Systems for Literary Works\u003c\/p\u003e\u003cp\u003eANTONI OLIVER\u003c\/p\u003e\u003cp\u003e7 Machine Translation of Chinese Fantasy (Xianxia) Novels: An Investigation Into the Leading Websites Translating Chinese Internet Literature Into English\u003c\/p\u003e\u003cp\u003eSHUYIN ZHANG\u003c\/p\u003e\u003cp\u003e8 Up and About, or Betwixt and Between?: The Poetry of a Translation Machine\u003c\/p\u003e\u003cp\u003eTIM VAN DE CRUYS\u003c\/p\u003e\u003cp\u003e9 Metaphor in Literary Machine Translation: Style, Creativity and Literariness\u003c\/p\u003e\u003cp\u003eALETTA G. DORST\u003c\/p\u003e\u003cp\u003ePart 3: Corpus Linguistics, Text-Visualisation and Literary Translation\u003c\/p\u003e\u003cp\u003e10 KonText in Trilingual Studies—Supporting Phraseology Translation Based on the EPB Corpus\u003c\/p\u003e\u003cp\u003eANGELIKA PELJAK-ŁAPIŃSKA\u003c\/p\u003e\u003cp\u003e11 Voyant Tools’ Little Outing: How a Text Reading and Analysis Environment Can Help Literary Translators\u003c\/p\u003e\u003cp\u003eLISA HORENBERG\u003c\/p\u003e\u003cp\u003e12 (Re)creating Equivalence of Stylistic Effect: A Corpus-Aided Methodology\u003c\/p\u003e\u003cp\u003eTEREZA ŠPLÍCHALOVÁ\u003c\/p\u003e\u003cp\u003ePart 4: Applying Specialised Electronic Tools to Literary Translation\u003c\/p\u003e\u003cp\u003e13 The Experiment\u003c\/p\u003e\u003cp\u003eAVRAHAM J. ROOS\u003c\/p\u003e\u003cp\u003e14 Augmenting and Informing the Translation Process through Workflow-Enabled CALT Tools\u003c\/p\u003e\u003cp\u003eSASHA MILE RUDAN, EUGENIA KELBERT, LAZAR KOVACEVIC, MATTHEW REYNOLDS, AND SINISHA RUDAN\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":51019037901143,"sku":"9781032413006","price":133.0,"currency_code":"GBP","in_stock":true}]},{"product_id":"interpreters-vs-machines-9781138586437","title":"Interpreters vs Machines","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFrom 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? \u003ci\u003eInterpreters vs Machines\u003c\/i\u003e 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.\u003c\/p\u003e\u003cp\u003eWritten 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. \u0026lt;\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eJonathan 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. \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eElisabet Tiselius\u003c\/strong\u003e, Stockholm University, Sweden\u003c\/p\u003e\u003cp\u003eA 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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eEwandro Magalhaes\u003c\/strong\u003e, Technology Advocate and Former Chief Interpreter in the UN System, USA\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eLevel One\u003c\/strong\u003e – \u003cstrong\u003eThe fundamentals\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eChapter 1\u003c\/strong\u003e: What is interpreting?\u003c\/p\u003e\u003cp\u003e\u003cb\u003eChapter 2: \u003c\/b\u003eHow humans interpret\u003c\/p\u003e\u003cp\u003e\u003cb\u003eChapter 3: \u003c\/b\u003eHow computers \"interpret\"\u003c\/p\u003e\u003cp\u003eLevel Two – How machines gained the upper hand\u003c\/p\u003e\u003cp\u003eChapter 4: How we wrecked our own PR\u003c\/p\u003e\u003cp\u003e\u003cb\u003eChapter 5: \u003c\/b\u003eSpeech translation's marvellous (but misleading) marketing\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eLevel Three – Choose your interpreting future\u003c\/p\u003e\u003cp\u003eChapter 6: Human interpreting as a stopgap\u003c\/p\u003e\u003cp\u003e\u003cb\u003eChapter 7: \u003c\/b\u003eHanging on with legal help \u003c\/p\u003e\u003cp\u003e\u003cb\u003eChapter 8: \u003c\/b\u003eMastering niches\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eChapter 9: Making interpreting matter again\u003c\/p\u003e\u003cp\u003eLevel Four – Interpreting that beats the bots\u003c\/p\u003e\u003cp\u003eChapter 10: Beating the bots Stage One: taking back interpreting PR\u003c\/p\u003e\u003cp\u003e\u003cb\u003eChapter 11: \u003c\/b\u003eMarketing interpreting that matters\u003c\/p\u003e\u003cp\u003e\u003cb\u003eChapter 12: \u003c\/b\u003eDeliver more than words\u003c\/p\u003e\u003cp\u003e\u003cb\u003eChapter 13: \u003c\/b\u003eCoaching and supervision\u003c\/p\u003e\u003cp\u003eLevel Five – One last thought\u003c\/p\u003e\u003cp\u003eChapter 14: It's time to call a truce\u003c\/p\u003e\u003cp\u003e\u003cem\u003eBibliography\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003eIndex\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":51019503534423,"sku":"9781138586437","price":32.99,"currency_code":"GBP","in_stock":true}]}],"url":"https:\/\/bookcurl.com\/collections\/natural-language-and-machine-translation.oembed?page=8","provider":"Book Curl","version":"1.0","type":"link"}