'Name Tagging' presents an array of 'hello my name is' stickers adorned with tags, the origin of graffiti and today's street art cultures. Martha Cooper has captured the artistry and audacity of graffiti artists and their distinctive tags.

Fun, funny, and fully heartfelt. Everyone needs true-blue friends like Lizbeth's. SuperChicken for life. —Kristin L. Gray, author of The Amelia Six and Vilonia Beebe Takes Charge One of those books that explores difficult topics—divorce, a new school, being dubbed a "weirdo"—with grace and good humor. —Rebecca Petruck, author of Boy Bites Bug and Steering Toward Normal This hilarious and heartfelt gem is moving straight to my "favorites" shelf. —Lisa Lewis Tyre, author of Last in a Long Line of Rebels and Hope in the Holler Twelve-year-old Lizbeth always has a plan, and those plans have usually worked—until now. No matter what she tries, she can't get rid of her dad's new girlfriend, Claire. And when she and her mom move, Lizbeth has to join a sixth-grade class already in progress, where her teacher makes her wear a name tag and she's seated with three notorious "weirdos." When faced with mandatory participation in a school talent show, Lizbeth and the Weirdos decide to create self portraits. Reluctantly, Lizbeth finds herself becoming friends with people she thought she had nothing in common with—and coming to terms with the things she can't control.

Interactive bulletin boards are presented along with their developmental goals.

Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.

The last decade has been one of dramatic progress in the field of Natural Language Processing (NLP). This hitherto largely academic discipline has found itself at the center of an information revolution ushered in by the Internet age, as demand for human-computer communication and informa tion access has exploded. Emerging applications in computer-assisted infor mation production and dissemination, automated understanding of news, understanding of spoken language, and processing of foreign languages have given impetus to research that resulted in a new generation of robust tools, systems, and commercial products. Well-positioned government research funding, particularly in the U. S. , has helped to advance the state-of-the art at an unprecedented pace, in no small measure thanks to the rigorous 1 evaluations. This volume focuses on the use of Natural Language Processing in In formation Retrieval (IR), an area of science and technology that deals with cataloging, categorization, classification, and search of large amounts of information, particularly in textual form. An outcome of an information retrieval process is usually a set of documents containing information on a given topic, and may consist of newspaper-like articles, memos, reports of any kind, entire books, as well as annotated image and sound files. Since we assume that the information is primarily encoded as text, IR is also a natural language processing problem: in order to decide if a document is relevant to a given information need, one needs to be able to understand its content.

A complete and very understandable guide to all the terms, concepts, procedures and techniques that form the basis for a successful and satisfying digital photography experience. Learn about image resolution, file formats and compression, camera scene modes, organizing and preserving your images for posterity and much, much more. Features a detailed exploration of Picasa3, a free yet powerful image editing and digital asset management program from Google that offers a convenient and fully featured hub to accommodate all your imaging needs.

Tagging is fast becoming one of the primary ways people organize and manage digital information. Tagging complements traditional organizational tools like folders and search on users desktops as well as on the web. These developments mean that tagging has broad implications for information management, information architecture and interface design. And its reach extends beyond these technical domains to our culture at large. We can imagine, for example, the scrapbookers of the future curating their digital photos, emails, ticket stubs and other mementos with tags. This book explains the value of tagging, explores why people tag, how tagging works and when it can be used to improve the user experience. It exposes tagging's superficial simplicity to reveal interesting issues related to usability, information architecture, online community and collective intelligence.