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Word processing --- Microsoft Word (logiciel) --- Macintosh (ordinateur) --- Guides pratiques. --- Guides pratiques.
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Editing. --- Manuscript preparation (Authorship) --- Report writing. --- Research paper writing --- Research report writing --- Term paper writing --- Authorship --- Preparation of manuscripts (Authorship) --- Editing --- Printing --- Word processing
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"The story of writing in the digital age is every bit as messy as the ink-stained rags that littered the floor of Gutenberg's print shop or the hot molten lead of the linotype machine. During the period of the pivotal growth and widespread adoption of word processing as a writing technology, some authors embraced it as a marvel while others decried it as the death of literature. The product of years of archival research and numerous interviews conducted by the author, Track Changes is the first literary history of word processing. Matthew Kirschenbaum examines how the interests and ideals of creative authorship came to coexist with the computer revolution. Who were the first adopters? What kind of anxieties did they share? Was word processing perceived as just a better typewriter or something more? How did it change our understanding of writing? Track Changes balances the stories of individual writers with a consideration of how the seemingly ineffable act of writing is always grounded in particular instruments and media, from quills to keyboards. Along the way, we discover the candidates for the first novel written on a word processor, explore the surprisingly varied reasons why writers of both popular and serious literature adopted the technology, trace the spread of new metaphors and ideas from word processing in fiction and poetry, and consider the fate of literary scholarship and memory in an era when the final remnants of authorship may consist of folders on a hard drive or documents in the cloud."--Provided by publisher.
Computer. Automation --- Literature --- Word processing --- Writing --- Creation (Literary, artistic, etc.) --- History. --- Technological innovations. --- Creative ability in art --- Creative ability in literature --- Art --- Imagination --- Inspiration --- Creative ability --- Originality --- Chirography --- Handwriting --- Language and languages --- Ciphers --- Penmanship --- Processing, Word --- Word processing (Office practice) --- Electronic data processing --- Paperwork (Office practice) --- Computerized typesetting --- Desktop publishing --- Text editors (Computer programs) --- Text processing (Computer science) --- Computer programs --- Automation
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It's the founding myth of humanities computing and digital humanities: In 1949, the Italian Jesuit scholar, Roberto Busa, S.J., persuaded IBM to offer technical and financial support for the mechanized creation of a massive lemmatized concordance to the works of St. Thomas Aquinas. Using Busa's own papers, recently accessioned in Milan, as well as IBM archives and other sources, Jones illuminates this DH origin story. He examines relationships between the layers of hardware, software, human agents, culture, and history, and answers the question of how specific technologies afford and even constrain cultural practices, including in this case the academic research agendas of humanities computing and, later, digital humanities.
Computational linguistics --- Humanities --- Text processing (Computer science) --- Processing, Text (Computer science) --- Database management --- Electronic data processing --- Information storage and retrieval systems --- Word processing --- Learning and scholarship --- Classical education --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Research --- History --- Data processing --- Busa, Roberto. --- Busa, R. --- E-books
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Master text-taming techniques and build effective text-processing applications with R About This Book Develop all the relevant skills for building text-mining apps with R with this easy-to-follow guide Gain in-depth understanding of the text mining process with lucid implementation in the R language Example-rich guide that lets you gain high-quality information from text data Who This Book Is For If you are an R programmer, analyst, or data scientist who wants to gain experience in performing text data mining and analytics with R, then this book is for you. Exposure to working with statistical methods and language processing would be helpful. What You Will Learn Get acquainted with some of the highly efficient R packages such as OpenNLP and RWeka to perform various steps in the text mining process Access and manipulate data from different sources such as JSON and HTTP Process text using regular expressions Get to know the different approaches of tagging texts, such as POS tagging, to get started with text analysis Explore different dimensionality reduction techniques, such as Principal Component Analysis (PCA), and understand its implementation in R Discover the underlying themes or topics that are present in an unstructured collection of documents, using common topic models such as Latent Dirichlet Allocation (LDA) Build a baseline sentence completing application Perform entity extraction and named entity recognition using R In Detail Text Mining (or text data mining or text analytics) is the process of extracting useful and high-quality information from text by devising patterns and trends. R provides an extensive ecosystem to mine text through its many frameworks and packages. Starting with basic information about the statistics concepts used in text mining, this book will teach you how to access, cleanse, and process text using the R language and will equip you with the tools and the associated knowledge about different tagging, chunking, and entailment approaches and their usage in natural language processing. Moving on, this book will teach you different dimensionality reduction techniques and their implementation in R. Next, we will cover pattern recognition in text data utilizing classification mechanisms, perform entity recognition, and develop an ontology learning framework. By the end of the book, you will develop a practical application from the concepts learned, and will understand how text mining can be leveraged to analyze the m...
Text processing (Computer science) --- R (Computer program language) --- Data mining. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- GNU-S (Computer program language) --- Domain-specific programming languages --- Processing, Text (Computer science) --- Database management --- Electronic data processing --- Information storage and retrieval systems --- Word processing
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Learn the fundamentals of modern web design, rather than relying on CMS programs, such as WordPress or Joomla!. You will be introduced to the essentials of good design and how to optimize for search engines. You will discover how to register a domain name and migrate a website to a remote host. Because you will have built the web pages yourself, you will know exactly how HTML and CSS work. You have will complete control over your websites and their maintenance. Practical Website Design for Absolute Beginners centers around introducing small amounts of new code in short practical chapters and provides many website templates that can be easily adapted for your own websites. Each chapter builds on the templates created in the previous chapter. You are provided with a practical project to complete in most chapters, and taught to produce practical web pages right from the start. In the first chapter you will install and configure a free text editor, then you will produce the structure for your first web page. You will then gradually learn to create more sophisticated and increasingly practical web pages and websites. In this book you will be encouraged by means of a series of achievable goals, and you will be rewarded by the knowledge that you are learning something valuable and really worthwhile. You will not have to plow through daunting chapters of disembodied code theory because the code is described and explained in context within each project. Because each project is fully illustrated, you will see clearly what you are expected to achieve as you create each web page. What You'll Learn Provides instructions for installing a text editor for producing HTML and CSS Shows you step-by-step how to build and test web pages and websites Teaches you how to ensure that your websites are attractive and useful Describes how to make the most effective use of color and images Teaches you the essential features of search engine optimization Shows you how to migrate your website to a remote host Who This Book Is For Practical Website Design for Absolute Beginners is for people who want to begin designing their own websites. It uses a highly motivational, easily assimilated step-by-step approach where you will start learning practical skills from the very first chapter. The book is an excellent choice for people who have computer skills but would also like to learn HTML and CSS. For readers who have little or no knowledge of HTML and CSS, the book will teach enough to complete all the projects in the book.
Computer science. --- Computer programming. --- Programming languages (Electronic computers). --- Computer Science. --- Web Development. --- Programming Techniques. --- Programming Languages, Compilers, Interpreters. --- Web sites --- Web publishing. --- Desktop publishing. --- Web site development. --- Design. --- Development of Web sites --- Desktop publishing --- DTP (Desktop publishing) --- World Wide Web publishing --- Authorship --- Development --- Computer programs --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Electronic data processing --- Languages, Artificial --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Informatics --- Science --- Programming --- Internet programming --- Layout (Printing) --- Electronic publishing --- Word processing --- Network publishing (Computer networks) --- Webcasting --- Web site development --- Microformats --- Data processing
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Data mining --- Text processing (Computer science) --- Text files --- Big data --- Social media --- Electronic data processing --- Computer Science --- Engineering & Applied Sciences --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Computers --- Office practice --- User-generated media --- Communication --- User-generated content --- Data sets, Large --- Large data sets --- Data sets --- ASCII files --- Full text files --- Computer files --- Processing, Text (Computer science) --- Database management --- Information storage and retrieval systems --- Word processing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Analysis --- Automation
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This book constitutes the proceedings of the 15th China National Conference on Computational Linguistics, CCL 2016, and the 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016, held in Yantai City, China, in October 2016. The 29 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 85 submissions. They were organized in topical sections named: semantics; machine translation; multilinguality in NLP; knowledge graph and information extraction; linguistic resource annotation and evaluation; information retrieval and question answering; text classification and summarization; social computing and sentiment analysis; and NLP applications.
Computer science. --- Computers. --- Artificial intelligence. --- Text processing (Computer science). --- Computational linguistics. --- Computer Science. --- Language Translation and Linguistics. --- Artificial Intelligence (incl. Robotics). --- Document Preparation and Text Processing. --- Information Systems and Communication Service. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Processing, Text (Computer science) --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Informatics --- Data processing --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Database management --- Electronic data processing --- Information storage and retrieval systems --- Word processing --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Science --- Natural language processing (Computer science). --- Information systems. --- Natural Language Processing (NLP). --- Artificial Intelligence. --- NLP (Computer science) --- Artificial intelligence --- Human-computer interaction --- Semantic computing --- Chinese language --- Sino-Tibetan languages
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For over two decades, this comprehensive manual has been the standard introduction and complete reference for writing articles and books containing mathematical formulas. If the reader requires a streamlined approach to learning LaTeX for composing everyday documents, Grätzer’s © 2014 Practical LaTeX may also be a good choice. In this carefully revised fifth edition, the Short Course has been brought up to date and reflects a modern and practical approach to LaTeX usage. New chapters have been added on illustrations and how to use LaTeX on an iPad. Key features: An example-based, visual approach and a gentle introduction with the Short Course A detailed exposition of multiline math formulas with a Visual Guide A unified approach to TeX, LaTeX, and the AMS enhancements A quick introduction to creating presentations with formulas From earlier reviews: Grätzer’s book is a solution. —European Mathematical Society Newsletter There are several LaTeX guides, but this one wins hands down for the elegance of its approach and breadth of coverage. —Amazon.com, Best of 2000, Editor’s choice A novice reader will be able to learn the most essential features of LaTeX sufficient to begin typesetting papers within a few hours of time… An experienced TeX user, on the other hand, will find a systematic and d etailed discussion of LaTeX features. —Report on Mathematical Physics A very helpful and useful tool for all scientists and engineers. —Review of Astronomical Tools.
Computer Science --- Engineering & Applied Sciences --- Mathematics printing --- Computerized typesetting. --- Computer programs. --- AMS-LaTeX. --- Automated typesetting --- Computer typesetting --- Computerized typesetting --- Typesetting --- Computer programs --- Data processing --- American Mathematical Society-LaTeX --- AMS-Lambda alpha tau epsilon chi --- Word processing --- Natural language processing (Computer science). --- Computer software. --- Computer science. --- Natural Language Processing (NLP). --- Mathematical Software. --- Math Applications in Computer Science. --- Programming Languages, Compilers, Interpreters. --- Media Design. --- Computer Applications. --- Informatics --- Science --- Software, Computer --- Computer systems --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Computer science—Mathematics. --- Programming languages (Electronic computers). --- Multimedia systems . --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Languages, Artificial
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The two-volume set LNCS 9981 and 9982 constitutes the refereed proceedings of the 15th International Semantic Web Conference, ISWC 2016, which was held in Kobe, Japan, in October 2016. The 75 full papers presented in these proceedings were carefully reviewed and selected from 326 submissions. The International Semantic Web Conference is the premier forum for Semantic Web research, where cutting edge scientific results and technological innovations are presented, where problems and solutions are discussed, and where the future of this vision is being developed. It brings together specialists in fields such as artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, human-computer interaction, natural language processing, and the social sciences. The Research Track solicited novel and significant research contributions addressing theoretical, analytical, empirical, and practical aspects of the Semantic Web. The Applications Track solicited submissions exploring the benefits and challenges of applying semantic technologies in concrete, practical applications, in contexts ranging from industry to government and science. The newly introduced Resources Track sought submissions providing a concise and clear description of a resource and its (expected) usage. Traditional resources include ontologies, vocabularies, datasets, benchmarks and replication studies, services and software. Besides more established types of resources, the track solicited submissions of new types of resources such as ontology design patterns, crowdsourcing task designs, workflows, methodologies, and protocols and measures.
Computer science. --- Database management. --- Data mining. --- Information storage and retrieval. --- Artificial intelligence. --- Text processing (Computer science). --- Computer Science. --- Database Management. --- Artificial Intelligence (incl. Robotics). --- Information Storage and Retrieval. --- Document Preparation and Text Processing. --- Data Mining and Knowledge Discovery. --- Processing, Text (Computer science) --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Informatics --- Database management --- Electronic data processing --- Information storage and retrieval systems --- Word processing --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Database searching --- Science --- Information storage and retrieva. --- Natural language processing (Computer science). --- Artificial Intelligence. --- Natural Language Processing (NLP). --- NLP (Computer science) --- Artificial intelligence --- Human-computer interaction --- Semantic computing --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Semantic Web
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