A witty, entertaining, impassioned guide to perfect punctuation, for everyone who cares about precise writing. Not a primer but a 'zero tolerance' manual for direct action.

Anxious about the apostrophe? Confused by the comma? Stumped by the semicolon? Join Lynne Truss on a hilarious tour through the rules of punctuation that is sure to sort the dashes from the hyphens.

A whimsically illustrated volume of the best-selling punctuation polemic features a colorful new foreword and 50 full-color drawings by an acclaimed New Yorker cartoonist that bring to life a variety of usage pitfalls. Reprint.

A pocket-sized paperback compendium of the hilariously illustrated #1 New York Times bestselling series of books about punctuation. Lynne Truss and Bonnie Timmons's hilariously re-imagined children's adaptation of Eats, Shoots & Leaves was a wild success when it came out in 2006, spending five weeks at #1 on the New York Times bestseller list. The Girl's Like Spaghetti and Twenty-Odd Ducks followed with equal success, and now all three are combined into a single, helpful volume! As in the original books, clever side-by-side illustrations demonstrate how carefully (or not) placed punctuation marks can completely alter a sentence's meaning. This compendium edition compiles the best parts from the original books into a humorous punctuation primer.

See how using (or not using) a comma can change the meaning of a sentence.

This word lover and wordsmith's calendar is based on the punctuation sensationEats, Shoots and Leaves. With such observations as "people truly do not know their apostrophe from their elbow," Lynne Truss has made "the history of punctuation a subject at once urgent, sexy, and hilarious" (John Walsh,The Independent).

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.

A biographical and bibliographical guide to current writers in all fields including poetry, fiction and nonfiction, journalism, drama, television and movies. Information is provided by the authors themselves or drawn from published interviews, feature stories, book reviews and other materials provided by the authors/publishers.

An engaging introduction to English sentence structure, showing how users can apply this knowledge to become better readers and writers.