This book brings together selected revised papers representing a multidisciplinary approach to language and literature. The collection presents studies performed using the methods of computational linguistics in accordance with the traditions of Russian linguistic and literary studies, primarily in line with the Leningrad (Petersburg) philological school. The book comprises the papers allocated into 2 sections discussing the study of corpora in language, translation, and literary studies and the use of computing in language teaching and translation and in emotional text processing. A unique feature of the presented collection is that the papers, compiled in one volume, allow readers to get an understanding of a wide range of research conducted in Saint Petersburg State University and other Russian leading scientific institutions. Both the classical tradition of Saint Petersburg philology and the results obtained with the help of new computer technologies as a sample of the symbiosis of technologies and traditions, which bring research to a qualitatively new level, arouse interest.

The classic guide to how computers work, updated with new chapters and interactive graphics "For me, Code was a revelation. It was the first book about programming that spoke to me. It started with a story, and it built up, layer by layer, analogy by analogy, until I understood not just the Code, but the System. Code is a book that is as much about Systems Thinking and abstractions as it is about code and programming. Code teaches us how many unseen layers there are between the computer systems that we as users look at every day and the magical silicon rocks that we infused with lightning and taught to think." - Scott Hanselman, Partner Program Director, Microsoft, and host of Hanselminutes Computers are everywhere, most obviously in our laptops and smartphones, but also our cars, televisions, microwave ovens, alarm clocks, robot vacuum cleaners, and other smart appliances. Have you ever wondered what goes on inside these devices to make our lives easier but occasionally more infuriating? For more than 20 years, readers have delighted in Charles Petzold's illuminating story of the secret inner life of computers, and now he has revised it for this new age of computing. Cleverly illustrated and easy to understand, this is the book that cracks the mystery. You'll discover what flashlights, black cats, seesaws, and the ride of Paul Revere can teach you about computing, and how human ingenuity and our compulsion to communicate have shaped every electronic device we use. This new expanded edition explores more deeply the bit-by-bit and gate-by-gate construction of the heart of every smart device, the central processing unit that combines the simplest of basic operations to perform the most complex of feats. Petzold's companion website, CodeHiddenLanguage.com, uses animated graphics of key circuits in the book to make computers even easier to comprehend. In addition to substantially revised and updated content, new chapters include: Chapter 18: Let's Build a Clock! Chapter 21: The Arithmetic Logic Unit Chapter 22: Registers and Busses Chapter 23: CPU Control Signals Chapter 24: Jumps, Loops, and Calls Chapter 28: The World Brain From the simple ticking of clocks to the worldwide hum of the internet, Code reveals the essence of the digital revolution.

We live in a world, according to N. Katherine Hayles, where new languages are constantly emerging, proliferating, and fading into obsolescence. These are languages of our own making: the programming languages written in code for the intelligent machines we call computers. Hayles's latest exploration provides an exciting new way of understanding the relations between code and language and considers how their interactions have affected creative, technological, and artistic practices. My Mother Was a Computer explores how the impact of code on everyday life has become comparable to that of speech and writing: language and code have grown more entangled, the lines that once separated humans from machines, analog from digital, and old technologies from new ones have become blurred. My Mother Was a Computer gives us the tools necessary to make sense of these complex relationships. Hayles argues that we live in an age of intermediation that challenges our ideas about language, subjectivity, literary objects, and textuality. This process of intermediation takes place where digital media interact with cultural practices associated with older media, and here Hayles sharply portrays such interactions: how code differs from speech; how electronic text differs from print; the effects of digital media on the idea of the self; the effects of digitality on printed books; our conceptions of computers as living beings; the possibility that human consciousness itself might be computational; and the subjective cosmology wherein humans see the universe through the lens of their own digital age. We are the children of computers in more than one sense, and no critic has done more than N. Katherine Hayles to explain how these technologies define us and our culture. Heady and provocative, My Mother Was a Computer will be judged as her best work yet.

This book addresses the nature of English use within contexts of computer-mediated communication (CMC). CMC includes technologies through which not only is language transmitted, but cultures are formed, ideologies are shaped, power is contested, and sociolinguistic boundaries are crossed and blurred. The volume therefore examines the English language in particular in CMC – what it looks like, what it accomplishes, and what it means to speakers.

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.

Provides comprehensive coverage of successful translation of language learning designs utilizing ICT in practical learning contexts. Offers the latest knowledge related to research on computer-enhanced language acquisition and learning.

In the mid-nineteenth century, the study of English literature began to be divided into courses that surveyed discrete "periods." Since that time, scholars' definitions of literature and their rationales for teaching it have changed radically. But the periodized structure of the curriculum has remained oddly unshaken, as if the exercise of contrasting one literary period with another has an importance that transcends the content of any individual course. Why Literary Periods Mattered explains how historical contrast became central to literary study, and why it remained institutionally central in spite of critical controversy about literature itself. Organizing literary history around contrast rather than causal continuity helped literature departments separate themselves from departments of history. But critics' long reliance on a rhetoric of contrasted movements and fateful turns has produced important blind spots in the discipline. In the twenty-first century, Underwood argues, literary study may need digital technology in particular to develop new methods of reasoning about gradual, continuous change.