Language Machines

Language Machines
Author: Jeffrey Masten
Publisher: Routledge
Total Pages: 292
Release: 2016-03-23
Genre: Literary Criticism
ISBN: 1317721810

Language Machines questions any easily progressive model of technological change, demonstrating the persistence rather than the obsolescence of language technologies over time, the continuous and complicated overlap of pens, presses, screens and voice. In these essays new technologies do not simply replace, but rather draw upon, absorb, displace and resituate earlier technologies.

A Concise Introduction to Languages and Machines

A Concise Introduction to Languages and Machines
Author: Alan P. Parkes
Publisher: Springer Science & Business Media
Total Pages: 348
Release: 2009-06-29
Genre: Computers
ISBN: 1848001215

A Concise Introduction to Languages, Machines and Logic provides an accessible introduction to three key topics within computer science: formal languages, abstract machines and formal logic. Written in an easy-to-read, informal style, this textbook assumes only a basic knowledge of programming on the part of the reader. The approach is deliberately non-mathematical, and features: - Clear explanations of formal notation and jargon, - Extensive use of examples to illustrate algorithms and proofs, - Pictorial representations of key concepts, - Chapter opening overviews providing an introduction and guidance to each topic, - End-of-chapter exercises and solutions, - Offers an intuitive approach to the topics. This reader-friendly textbook has been written with undergraduates in mind and will be suitable for use on course covering formal languages, formal logic, computability and automata theory. It will also make an excellent supplementary text for courses on algorithm complexity and compilers.

The Language of Machines

The Language of Machines
Author: Robert W. Floyd
Publisher: W H Freeman & Company
Total Pages: 706
Release: 1994
Genre: Computable functions.
ISBN: 9780716782667

An up-to-date, authoritative text for courses in theory of computability and languages. The authors redefine the building blocks of automata theory by offering a single unified model encompassing all traditional types of computing machines and real world electronic computers. This reformulation of computablity and formal language theory provides a framework for building a body of knowledge. A solutions manual and an instructor's software disk are also available.

The Apprentice

The Apprentice
Author: Pilar Molina Llorente
Publisher: Perfection Learning
Total Pages: 0
Release: 1994-08
Genre:
ISBN: 9780780741881

Working as an artist's apprentice in Renaissance Florence, thirteen-year-old Arduino makes a discovery which may cost him the chance to become a painter.

Introduction to Languages, Machines and Logic

Introduction to Languages, Machines and Logic
Author: Alan P. Parkes
Publisher: Springer Science & Business Media
Total Pages: 352
Release: 2012-12-06
Genre: Computers
ISBN: 144710143X

A well-written and accessible introduction to the most important features of formal languages and automata theory. It focuses on the key concepts, illustrating potentially intimidating material through diagrams and pictorial representations, and this edition includes new and expanded coverage of topics such as: reduction and simplification of material on Turing machines; complexity and O notation; propositional logic and first order predicate logic. Aimed primarily at computer scientists rather than mathematicians, algorithms and proofs are presented informally through examples, and there are numerous exercises (many with solutions) and an extensive glossary.

Crafting Interpreters

Crafting Interpreters
Author: Robert Nystrom
Publisher: Genever Benning
Total Pages: 1021
Release: 2021-07-27
Genre: Computers
ISBN: 0990582949

Despite using them every day, most software engineers know little about how programming languages are designed and implemented. For many, their only experience with that corner of computer science was a terrifying "compilers" class that they suffered through in undergrad and tried to blot from their memory as soon as they had scribbled their last NFA to DFA conversion on the final exam. That fearsome reputation belies a field that is rich with useful techniques and not so difficult as some of its practitioners might have you believe. A better understanding of how programming languages are built will make you a stronger software engineer and teach you concepts and data structures you'll use the rest of your coding days. You might even have fun. This book teaches you everything you need to know to implement a full-featured, efficient scripting language. You'll learn both high-level concepts around parsing and semantics and gritty details like bytecode representation and garbage collection. Your brain will light up with new ideas, and your hands will get dirty and calloused. Starting from main(), you will build a language that features rich syntax, dynamic typing, garbage collection, lexical scope, first-class functions, closures, classes, and inheritance. All packed into a few thousand lines of clean, fast code that you thoroughly understand because you wrote each one yourself.

Applied Natural Language Processing in the Enterprise

Applied Natural Language Processing in the Enterprise
Author: Ankur A. Patel
Publisher: "O'Reilly Media, Inc."
Total Pages: 336
Release: 2021-05-12
Genre: Computers
ISBN: 1492062545

NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP. With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension Train NLP models with performance comparable or superior to that of out-of-the-box systems Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production