Annotation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Annotation write by Remi H. Kalir. This book was released on 2021-04-06. Annotation available in PDF, EPUB and Kindle. An introduction to annotation as a genre--a synthesis of reading, thinking, writing, and communication--and its significance in scholarship and everyday life. Annotation--the addition of a note to a text--is an everyday and social activity that provides information, shares commentary, sparks conversation, expresses power, and aids learning. It helps mediate the relationship between reading and writing. This volume in the MIT Press Essential Knowledge series offers an introduction to annotation and its literary, scholarly, civic, and everyday significance across historical and contemporary contexts. It approaches annotation as a genre--a synthesis of reading, thinking, writing, and communication--and offer examples of annotation that range from medieval rubrication and early book culture to data labeling and online reviews.
The Genesis of Science
The Genesis of Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Genesis of Science write by James Hannam. This book was released on 2011-03-22. The Genesis of Science available in PDF, EPUB and Kindle. The Not-So-Dark Dark Ages What they forgot to teach you in school: People in the Middle Ages did not think the world was flat The Inquisition never executed anyone because of their scientific ideologies It was medieval scientific discoveries, including various methods, that made possible Western civilization’s “Scientific Revolution” As a physicist and historian of science James Hannam debunks myths of the Middle Ages in his brilliant book The Genesis of Science: How the Christian Middle Ages Launched the Scientific Revolution. Without the medieval scholars, there would be no modern science. Discover the Dark Ages and their inventions, research methods, and what conclusions they actually made about the shape of the world.
The Annotated Emma
The Annotated Emma - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Annotated Emma write by Jane Austen. This book was released on 2012-03-20. The Annotated Emma available in PDF, EPUB and Kindle. From the editor of the popular Annotated Pride and Prejudice comes an annotated edition of Jane Austen’s Emma that makes her beloved tale of an endearingly inept matchmaker an even more satisfying read. Here is the complete text of the novel with more than 2,200 annotations on facing pages, including: - Explanations of historical context - Citations from Austen’s life, letters, and other writings - Definitions and clarifications - Literary comments and analysis - Maps of places in the novel - An introduction, bibliography, and detailed chronology of events - Nearly 200 informative illustrations Filled with fascinating information about everything from the social status of spinsters and illegitimate children to the shopping habits of fashionable ladies to English attitudes toward gypsies, David M. Shapard’s Annotated Emma brings Austen’s world into richer focus.
The Annotated Book in the Early Middle Ages
The Annotated Book in the Early Middle Ages - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Annotated Book in the Early Middle Ages write by Mariken Teeuwen. This book was released on 2017. The Annotated Book in the Early Middle Ages available in PDF, EPUB and Kindle. Annotations in modern books are a phenomenon that often causes disapproval: we are not supposed to draw, doodle, underline, or highlight in our books. In many medieval manuscripts, however, the pages are filled with annotations around the text and in-between the lines. In some cases, a 'white space' around the text is even laid out to contain extra text, pricked and ruled for the purpose. Just as footnotes are an approved and standard part of the modern academic book, so the flyleaves, margins, and interlinear spaces of many medieval manuscripts are an invitation to add extra text. This volume focuses on annotation in the early medieval period. In treating manuscripts as mirrors of the medieval minds who created them - reflecting their interests, their choices, their practices - the essays explore a number of key topics. Are there certain genres in which the making of annotations seems to be more appropriate or common than in others? Are there genres in which annotating is 'not done'? Are there certain monastic centres in which annotating practices flourish, and from which they spread? The volume thus investigates whether early medieval annotators used specific techniques, perhaps identifiable with their scribal communities or schools. It explores what annotators actually sought to accomplish with their annotations, and how the techniques of annotating developed over time and per region.
Natural Language Annotation for Machine Learning
Natural Language Annotation for Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Natural Language Annotation for Machine Learning write by James Pustejovsky. This book was released on 2012-10-11. Natural Language Annotation for Machine Learning available in PDF, EPUB and Kindle. Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don’t need any programming or linguistics experience to get started. Using detailed examples at every step, you’ll learn how the MATTER Annotation Development Process helps you Model, Annotate, Train, Test, Evaluate, and Revise your training corpus. You also get a complete walkthrough of a real-world annotation project. Define a clear annotation goal before collecting your dataset (corpus) Learn tools for analyzing the linguistic content of your corpus Build a model and specification for your annotation project Examine the different annotation formats, from basic XML to the Linguistic Annotation Framework Create a gold standard corpus that can be used to train and test ML algorithms Select the ML algorithms that will process your annotated data Evaluate the test results and revise your annotation task Learn how to use lightweight software for annotating texts and adjudicating the annotations This book is a perfect companion to O’Reilly’s Natural Language Processing with Python.
