You've Got to Be Kidding!: How Jokes Can Help You Think is a thoughtful and accessible analysis of the ways in which jokes illustrate how we think critically, and how the thinking process goes awry in everyday human situations. Uses jokes to illustrate the various mistakes or fallacies that are typically identified and discussed in courses on critical reasoning Provides an effective way to learn critical thinking skills since jokes often describe real-life situations where it really matters whether a person thinks well or not Demonstrates how philosophy is actually very practical and clearly related to real- life human experiences Explains how developing good reasoning habits can make a real difference in all aspects of one's life
Ryskind's story is one of a classic American success. The son of Russian Jewish immigrants, he attended Columbia University, achieved legendary fame on Broadway and in Hollywood, won the Pulitzer Prize, and became a noted, nationally syndicated columnist. His works include collaborations with George S. Kaufman and George and Ira Gershwin, as well as four Marx Brothers' movies.
It has been eight years since "An Introduction to the Grammar of English" was first published. The second edition is completely revised and greatly expanded, especially where texts, example sentences, exercises, and cartoons are concerned. It continues to provide a very lively and clearly written textbook. The book introduces basic concepts of grammar in a format which inspires the reader to use linguistic arguments. The style of the book is engaging and examples from poetry, jokes, and puns illustrate grammatical concepts. The focus is on syntactic analysis and evidence. However, special topic sections contribute sociolinguistic and historical reasons behind prescriptive rules such as the bans on split infinitives, dangling participles, and preposition stranding. The book is written for undergraduate students and structured for a semester-long course. It provides exercises, keys to those exercises, and sample exams. It also includes a comprehensive glossary. A basic website will be kept up at http: //www.public.asu.edu/ gelderen/grammar.htm.
This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora. Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.
(Limelight). "If I want to send a message, I'll call Western Union." This famous line has been attributed to various movie moguls, yet while these moguls ruled the Hollywood studio system, movies were in the midst of a golden age of dialogue. Films included more messages, ideas, themes, and pontifications than they ever have since. Although producers trembled at commands from the front office, writers (the low men and women on the totem pole) went quietly to their typewriters and, as the subversive revolutionaries that most writers are, turned out prose that did send messages. How could they resist? They had the biggest and best platform in the world: Hollywood movies. The 200 speeches collected in Ready for My Close-Up! are from some of the best and a few of the worst films ever made. From Groucho Marx's "I shot an elephant in my pajamas" to Julia Roberts's "What it takes to be a movie star," here is the wit and wisdom of the great Hollywood screenwriters.
An Introduction to Language offers an engaging guide to the nature of language, focusing on how language works – its sounds, words, structures, and phrases – all investigated through wide-ranging examples from Old English to contemporary pop culture. Explores the idea of a scientific approach to language, inviting students to consider what qualities of language comprise everyday skills for us, be they sounds, words, phrases, or conversation Helps shape our understanding of what language is, how it works, and why it is both elegantly complex and essential to who we are Includes exercises within each chapter to help readers explore key concepts and directly observe the patterns that are part of all human language Examines linguistic variation and change to illustrate social nuances and language-in-use, drawing primarily on examples from English Avoids linguistic jargon, focusing instead on a broader and more general approach to the study of language, and making it ideal for those coming to the subject for the first time Supported by additional web resources – available upon publication at www.wiley.com/go/hazen/introlanguage – including student study aids and testbank and notes for instructors
The Young Whit series is the perfect gift for Adventures in Odyssey fans. It also welcomes new readers into the Odyssey universe as it introduces them to the history of the much-loved character John Avery Whittaker. Readers will be on the edge of their seats as they dive into the origin story of Whit and his many exciting mysteries and adventures. In Young Whit and the Phantasmic Confabulator, the fourth book in the series, Young Johnny Whittaker tries to save Duke University basketball, unravel a kidnapping, and begin to develop his most-famous invention! He also learns more about the amazing cloth left to him by his mother.
Updated to include three new chapters on transformers, natural language understanding (NLU) with explainable AI, and dabbling with popular LLMs from Hugging Face and OpenAI Key Features Leverage ready-to-use recipes with the latest LLMs, including Mistral, Llama, and OpenAI models Use LLM-powered agents for custom tasks and real-world interactions Gain practical, in-depth knowledge of transformers and their role in implementing various NLP tasks with open-source and advanced LLMs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionHarness the power of Natural Language Processing to overcome real-world text analysis challenges with this recipe-based roadmap written by two seasoned NLP experts with vast experience transforming various industries with their NLP prowess. You’ll be able to make the most of the latest NLP advancements, including large language models (LLMs), and leverage their capabilities through Hugging Face transformers. Through a series of hands-on recipes, you’ll master essential techniques such as extracting entities and visualizing text data. The authors will expertly guide you through building pipelines for sentiment analysis, topic modeling, and question-answering using popular libraries like spaCy, Gensim, and NLTK. You’ll also learn to implement RAG pipelines to draw out precise answers from a text corpus using LLMs. This second edition expands your skillset with new chapters on cutting-edge LLMs like GPT-4, Natural Language Understanding (NLU), and Explainable AI (XAI)—fostering trust and transparency in your NLP models. By the end of this book, you'll be equipped with the skills to apply advanced text processing techniques, use pre-trained transformer models, build custom NLP pipelines to extract valuable insights from text data to drive informed decision-making.What you will learn Understand fundamental NLP concepts along with their applications using examples in Python Classify text quickly and accurately with rule-based and supervised methods Train NER models and perform sentiment analysis to identify entities and emotions in text Explore topic modeling and text visualization to reveal themes and relationships within text Leverage Hugging Face and OpenAI LLMs to perform advanced NLP tasks Use question-answering techniques to handle both open and closed domains Apply XAI techniques to better understand your model predictions Who this book is for This updated edition of the Python Natural Language Processing Cookbook is for data scientists, machine learning engineers, and developers with a background in Python. Whether you’re looking to learn NLP techniques, extract valuable insights from textual data, or create foundational applications, this book will equip you with basic to intermediate skills. No prior NLP knowledge is necessary to get started. All you need is familiarity with basic programming principles. For seasoned developers, the updated sections offer the latest on transformers, explainable AI, and Generative AI with LLMs.
