It should have been the night that launched a new pop idol. Tamar Valparaiso is young and beautiful, with the body and voice of an angel, and the stage is set for her to launch her debut album, Bandersnatch, on a luxury yacht in the heart of the city. But halfway through her performance, while the partygoers look on helplessly, masked men drag Tamar off the stage and into a waiting speedboat. Detective Steve Carella is just showing up for the graveyard shift when news of the kidnapping comes in. Working disjointedly with a Joint Task Force that calls itself "The Squad," Carella and the men and women of the Eight-Seven must find Tamar before time -- or indeed her very life -- runs out. In this brilliant look at the music industry, Ed McBain once again combines his mastery of the form with the fast-paced dialogue and intricate plotting that have become his signature.

Corpus Linguistics for World Englishes offers a detailed account of how to analyse the many fascinating varieties of English around the world using corpus-linguistic methods. Employing case studies for illustration of relevant concepts and methods throughout, this book: introduces the theory and practice of analysing World Englishes illustrates the basics of corpus-linguistic methods and presents the vast World Englishes corpora links World Englishes to Learner Englishes and English as a Lingua Franca offers practical, hands-on exercises and questions for discussion in each chapter provides helpful overviews and course syllabi for students and instructors. Corpus Linguistics for World Englishes is key reading for advanced students of English as a World Language and Corpus Linguistics, as well as anyone keen to understand variation in World Englishes with the help of corpus linguistics.

An illustrated version of the classic nonsense poem from "Through the Looking Glass."

"Golland leaves no stone unturned in this fine-grained chronicle of the rock group Journey.... Golland’s passion and precision make this a pleasure." -Publishers Weekly, Starred Review "[Golland] provides an overdue critical take on the group’s overall sound. He also discusses issues of musical influence versus appropriation. It is rare, and valuable, to find such insight in books like this." -Library Journal, Starred Review “A welcome study of one of rock’s most enduring musical fusions." - Salon Relive Journey’s greatest songs and moments with this fiftieth anniversary tribute Since exploding on the scene in the late 1970s, Journey has inspired generations of fans with hit after hit. But hidden under this rock ‘n’ roll glory is a complex story of ambition, larger-than-life personalities, and clashes. David Hamilton Golland unearths the band’s true and complete biography, based on over a decade of interviews and thousands of sources. When Steve Perry joined jazz-blues progressive rock band Journey in 1977, they saw a rise to the top, and their 1981 album Escape hit #1. But Perry’s quest for control led to Journey’s demise. They lost their record contract and much of their audience. After the unlikely comeback of “Don’t Stop Believin’” in movies, television, and sports stadiums, a new generation discovered Journey. A professional historian, Golland dispels rehashed myths and also shows how race in popular music contributed to their breakout success. As the economy collapsed and as people abandoned the spirit of Woodstock in the late 70s, Journey used the rhythm of soul and Motown to inspire hope in primarily white teenagers’ lives. Decades later, the band and their signature song remain classics, and now, with singer Arnel Pineda, they are again a fixture in major stadiums worldwide.

Hit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak human. In Getting Started with Natural Language Processing you’ll learn about: Fundamental concepts and algorithms of NLP Useful Python libraries for NLP Building a search algorithm Extracting information from raw text Predicting sentiment of an input text Author profiling Topic labeling Named entity recognition Getting Started with Natural Language Processing is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. If you’re a beginner to NLP and want to upgrade your applications with functions and features like information extraction, user profiling, and automatic topic labeling, this is the book for you. About the technology From smart speakers to customer service chatbots, apps that understand text and speech are everywhere. Natural language processing, or NLP, is the key to this powerful form of human/computer interaction. And a new generation of tools and techniques make it easier than ever to get started with NLP! About the book Getting Started with Natural Language Processing teaches you how to upgrade user-facing applications with text and speech-based features. From the accessible explanations and hands-on examples in this book you’ll learn how to apply NLP to sentiment analysis, user profiling, and much more. As you go, each new project builds on what you’ve previously learned, introducing new concepts and skills. Handy diagrams and intuitive Python code samples make it easy to get started—even if you have no background in machine learning! What's inside Fundamental concepts and algorithms of NLP Extracting information from raw text Useful Python libraries Topic labeling Building a search algorithm About the reader You’ll need basic Python skills. No experience with NLP required. About the author Ekaterina Kochmar is a lecturer at the Department of Computer Science of the University of Bath, where she is part of the AI research group. Table of Contents 1 Introduction 2 Your first NLP example 3 Introduction to information search 4 Information extraction 5 Author profiling as a machine-learning task 6 Linguistic feature engineering for author profiling 7 Your first sentiment analyzer using sentiment lexicons 8 Sentiment analysis with a data-driven approach 9 Topic analysis 10 Topic modeling 11 Named-entity recognition

This 4th edition of 'Thinking in Java' has been updated to include verion J2SE 5.0.

When theorizing about language, we tend to assume that speakers are cooperative, honest, helpful, and so on. This, of course, isn't remotely true of a lot of real-world language use. Bad Language is the first textbook to explore non-idealized language use, the linguistic behaviour of those who exploit language for malign purposes. Two eminent philosophers of language present a lively and accessible introduction to a wide range of topics including lies and bullshit, slurs and insults, coercion and silencing: Cappelen and Dever offer theoretical frameworks for thinking about these all too common linguistic behaviours. As the text does not assume prior training in philosophy or linguistics, it is ideal for use as part of a philosophy of language course for philosophy students or for linguistics students. Bad Language belongs to the series Contemporary Introductions to Philosophy of Language, in which each book introduces an important area of the philosophy of language, suitable for students at any level.