In the last fifty years, we've zoomed through radically different forms of communication, from typewriters to tablet computers, text messages to tweets. We generate more and more words with each passing day. Hiding in that deluge of language are amazing insights into who we are, how we think, and what we feel.In The Secret Life of Pronouns, social psychologist and language expert James W. Pennebaker uses his groundbreaking research in computational linguistics-in essence, counting the frequency of words we use-to show that our language carries secrets about our feelings, our self-concept, and our social intelligence. Our most forgettable words, such as pronouns and prepositions, can be the most revealing: their patterns are as distinctive as fingerprints.Using innovative analytic techniques, Pennebaker X-rays everything from Craigslist advertisements to the Federalist Papers-or your own writing, in quizzes you can take yourself-to yield unexpected insights. Who would have predicted that the high school student who uses too many verbs in her college admissions essay is likely to make lower grades in college? Or that a world leader's use of pronouns could reliably presage whether he led his country into war? You'll learn why it's bad when politicians use "we" instead of "I," what Lady Gaga and William Butler Yeats have in common, and how Ebenezer Scrooge's syntax hints at his self-deception and repressed emotion. Barack Obama, Sylvia Plath, and King Lear are among the figures who make cameo appearances in this sprightly, surprising tour of what our words are saying-whether we mean them to or not.

    In the original edition, Steiner provided readers with the first systematic investigation since the eighteenth century of the phenomenologyand processes of translation both inside and between languages. Taking issue with the principal emphasis of modern linguistics, he finds the root of the Babel problem in our deep instinct for privacy and territory, noting that every people has in its language a unique body of shared secrecy. Withthis provocative thesis he analyzes every aspect of translation from fundamental conditions of interpretation to the most intricate of linguistic constructions. For the long-awaited second edition, Steiner entirely revised the text, added new and expanded notes, and wrote a new preface setting the work in the present context of hermeneutics, poetics, and translation studies. This new edition brings the bibliography up to the present with substantiallyupdated references, including much Russian and Eastern European material. Like the towering figures of Derrida, Lacan, and Foucault, Steiner's work is central to current literary thought. After Babel, Third Edition is essential reading for anyone hoping to understand the debates raging in theacademy today.

    Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations.You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise.Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tablesStudy abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machinesGet starter code and solutions to help you re-implement and extend original experiments in complexityExplore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topicsExamine case studies of complex systems submitted by students and readers

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa

    There’s a famous piece of writing advice—offered by Ernest Hemingway, Stephen King, and myriad writers in between—not to use -ly adverbs like “quickly” or “fitfully.” It sounds like solid advice, but can we actually test it? If we were to count all the -ly adverbs these authors used in their careers, do they follow their own advice compared to other celebrated authors? What’s more, do great books in general—the classics and the bestsellers—share this trait?In Nabokov’s Favorite Word Is Mauve, statistician and journalist Ben Blatt brings big data to the literary canon, exploring the wealth of fun findings that remain hidden in the works of the world’s greatest writers. He assembles a database of thousands of books and hundreds of millions of words, and starts asking the questions that have intrigued curious word nerds and book lovers for generations: What are our favorite authors’ favorite words? Do men and women write differently? Are bestsellers getting dumber over time? Which bestselling writer uses the most clichés? What makes a great opening sentence? How can we judge a book by its cover? And which writerly advice is worth following or ignoring?

    They give greater emphasis to the systemic perspective, in which grammaticalization is understoodin the context of an overall model of language. Their description of grammar is grounded in a comprehensive theory, but it is a theory which evolves in the process of being applied.

    Turing Mathematician Alan Turing invented an imaginary computer known as the Turing Machine; in an age before computers, he explored the concept of what it meant to be "computable," creating the field of computability theory in the process, a foundation of present-day computer programming.The book expands Turing's original 36-page paper with additional background chapters and extensive annotations; the author elaborates on and clarifies many of Turing's statements, making the original difficult-to-read document accessible to present day programmers, computer science majors, math geeks, and others.Interwoven into the narrative are the highlights of Turing's own life: his years at Cambridge and Princeton, his secret work in cryptanalysis during World War II, his involvement in seminal computer projects, his speculations about artificial intelligence, his arrest and prosecution for the crime of "gross indecency," and his early death by apparent suicide at the age of 41.

    This edition incorporates current research methodology—including molecular and genetic clinical research—and offers an updated syllabus for conducting a clinical research workshop.Emphasis is on common sense as the main ingredient of good science. The book explains how to choose well-focused research questions and details the steps through all the elements of study design, data collection, quality assurance, and basic grant-writing. All chapters have been thoroughly revised, updated, and made more user-friendly.

    F. Skinner that analyzes human behavior, encompassing what is traditionally called language, linguistics, or speech. For Skinner, verbal behavior is subject to the same controlling variables as any other operant behavior, although Skinner differentiates between verbal behavior which is mediated by other people, and that which is mediated by the natural world. The book “Verbal Behavior” is almost entirely theoretical, involving little experimental research in the work itself. It was an outgrowth of a series of lectures first presented at the University of Minnesota in the early 1940s and developed further in his summer lectures at Columbia and William James lectures at Harvard in the decade before the book’s publication. A growing body of research and applications based on “Verbal Behavior” has occurred since its original publication, particularly in the past decade.

    Readers will develop an understanding of the multiple research methods and strategies used in education and related fields, the ability to read and critically evaluate published research, and the ability to write a proposal, construct a questionnaire, and conduct an empirical research study on their own.

    Most parents never forget the moment. But that first word is soon followed by a second and a third, and by the age of three, children are typically learning ten new words every day and speaking in complete sentences. The process seems effortless, and for children, it is. But how exactly does it happen? How do children learn language? And why is it so much harder to do later in life? Drawing on cutting-edge developments in biology, neurology, psychology, and linguistics, Charles Yang's "The Infinite Gift" takes us inside the astonishingly complex but largely subconscious process by which children learn to talk and to understand the spoken word.Yang illuminates the rich mysteries of language: why French newborns already prefer the sound of French to English; why baby-talk, though often unintelligible, makes perfect linguistic sense; why babies born deaf still babble -- but with their hands; why the grammars of some languages may be evolutionarily stronger than others; and why one of the brain's earliest achievements may in fact be its most complex.Yang also puts forth an exciting new theory. Building on Noam Chomsky's notion of a universal grammar -- the idea that every human being is born with an intuitive grasp of grammar -- Yang argues that we learn our native languages in part by unlearning the grammars of all the rest.This means that the next time you hear a child make a grammatical mistake, it may not be a mistake at all; his or her grammar may be perfectly correct in Chinese or Navajo or ancient Greek. This is the brain's way of testing its options as it searches for the local and thus correct grammar -- and then discards all the wrong ones.And we humans, Yang shows, are not the only creatures who learn this way. In fact, learning by unlearning may be an ancient evolutionary mechanism that runs throughout the animal kingdom. Thus, babies learn to talk in much the same way that birds learn to sing.Enlivened by Yang's experiences with his own young son, "The Infinite Gift" is as charming as it is challenging, as thoughtful as it is thought-provoking. An absorbing read for parents, educators, and anyone who has ever wondered about the origins of that uniquely human gift: our ability to speak and, just as miraculous, to understand one another.

    Sipser's candid, crystal-clear style allows students at every level to understand and enjoy this field. His innovative "proof idea" sections explain profound concepts in plain English. The new edition incorporates many improvements students and professors have suggested over the years, and offers updated, classroom-tested problem sets at the end of each chapter.

    Each chapter, or unit, is divided into easily comprehended small "bites" that enable learners to master the material step-by-step, rather than being overwhelmed by masses of information covered too quickly. The book provides extremely detailed explanations of procedures and techniques, and was written in the conviction that anyone can thoroughly master its content. A four-part organization covers sentential logic, monadic predicate logic, relational predicate logic, and extra credit units that glimpse into alternative methods of logic and more advanced topics. For individuals interested in the formal study of logic.

    With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

    Today, unfortunately, the traditional place of mathematics in education is in grave danger. The teaching and learning of mathematics has degenerated into the realm of rote memorization, the outcome of which leads to satisfactory formal ability but does not lead to real understanding or to greater intellectual independence. This new edition of Richard Courant's and Herbert Robbins's classic work seeks to address this problem. Its goal is to put the meaning back into mathematics.Written for beginners and scholars, for students and teachers, for philosophers and engineers, What is Mathematics? Second Edition is a sparkling collection of mathematical gems that offers an entertaining and accessible portrait of the mathematical world. Covering everything from natural numbers and the number system to geometrical constructions and projective geometry, from topology and calculus to matters of principle and the Continuum Hypothesis, this fascinating survey allows readers to delve into mathematics as an organic whole rather than an empty drill in problem solving. With chapters largely independent of one another and sections that lead upward from basic to more advanced discussions, readers can easily pick and choose areas of particular interest without impairing their understanding of subsequent parts.Brought up to date with a new chapter by Ian Stewart, What is Mathematics? Second Edition offers new insights into recent mathematical developments and describes proofs of the Four-Color Theorem and Fermat's Last Theorem, problems that were still open when Courant and Robbins wrote this masterpiece, but ones that have since been solved.Formal mathematics is like spelling and grammar - a matter of the correct application of local rules. Meaningful mathematics is like journalism - it tells an interesting story. But unlike some journalism, the story has to be true. The best mathematics is like literature - it brings a story to life before your eyes and involves you in it, intellectually and emotionally. What is Mathematics is like a fine piece of literature - it opens a window onto the world of mathematics for anyone interested to view.