This series is directed to health care professionals who are leading the tra- formation of health care by using information and knowledge. Launched in 1988 as Computers in Health Care, the series offers a broad range of titles: some addressed to specific professions such as nursing, medicine, and health administration; others to special areas of practice such as trauma and radi- ogy. Still other books in the series focus on interdisciplinary issues, such as the computer-based patient record, electronic health records, and networked health care systems. Renamed Health Informatics in 1998 to reflect the rapid evolution in the discipline now known as health informatics, the series will continue to add titles that contribute to the evolution of the field. In the series, eminent - perts, serving as editors or authors, offer their accounts of innovations in health informatics. Increasingly, these accounts go beyond hardware and so- ware to address the role of information in influencing the transformation of healthcare delivery systems around the world. The series also increasingly focuses on “peopleware” and the organizational, behavioral, and societal changes that accompany the diffusion of information technology in health services environments.

Ethics and Information Technology: A Case-Based Approach to a Health Care System in Transition (Health Informatics)

Goodman, Kenneth

Anderson, James G.

Science & Math

Springer

Ken Goodman's view on reading is widely regarded as the most complete and articulated of any in the world, the basis for much contemporary reading research, theory, and instruction. Indeed, acceptance of Goodman's work is so widespread that his theories have become virtually institutionalized-even as they have prompted controversy. On Reading offers a complete explanation of the view that many people in and out of the education field have both accepted and denounced, often without fully understanding its sources and significance. At a time when the movement Goodman helped spawn-whole language theory-is under increasing attack, that explanation is both warranted and welcome. In a clear and engaging style, Goodman explains why he described the reading process as a "psycholinguistic guessing game." He argues that the object of that game is not to recognize letters and words, but to make sense of print: to construct meaning. Among the devices readers use to win that game are miscues, the unexpected responses in oral reading. Many teachers today recognize these "mistakes" as evidence that readers draw upon a wealth of data-graphophonic, syntactic, and semantic-to make sense of print, to predict what comes next, and to construct meaning. Goodman makes the highly complex process of reading easy to understand. He involves his readers in examining their own reading, and he provides real language examples from real children reading real texts-not research-designed controlled samples. In so doing, he proposes that written language is parallel to and equal with oral language and that it is learned in the same way-and for the same reasons-as oral language. Both defenders and detractors of Goodman's work acknowledge him as one of the most influential theorists of the twentieth century. On Reading will be of interest to anyone concerned about the state of education in the twenty-first century.

On Reading

Education & Teaching

Schools & Teaching

Scholastic Teaching Resources

Reading- The Grand Illusion: How and Why People Make Sense of Print

What is reading? In this groundbreaking book, esteemed researchers Ken Goodman, Peter Fries, and Steven Strauss, explain not only what reading really is but also why common sense makes it seem to be something quite different from that reality. How can this grand illusion be explained? That is the purpose of this book. As the authors show, unraveling the secrets of the grand illusion of reading teaches about far more than reading itself, but also about how remarkable human language is, how the brain uses language to navigate the world, what it means to be human. Each author brings a different perspective, but all share a common view of the reading process. Together they provide a clear and surprising exposition of the reading process, in which they involve readers of this book in exploring the ways they themselves read and make sense of written language while their eyes fixate on fewer than 70 percent of the words in the text. In addition, the authors engage in a cross-disciplinary discussion about how readers use the brain, eyes, and language in reading. The different perspectives provide depth to the authors’ description of reading. The information presented in this book will be new to many teachers, researchers, teacher educators, and the public alike. The final chapter draws on the understandings from the book to challenge the treatment of reading and writing as school subjects and offers the basis for supporting literacy development as a natural extension of oral language development.

Reference

Strauss, Steven L.

Fries, Peter H.

Foreign Language Study & Reference

Routledge

Anderson, James G. G.

This is the first book devoted exclusively to knowledge-based machine translation. While most approaches to the machine translation for natural languages seek ways to translate source language texts into target language texts without full understanding of the text, knowledge-based machine translation is based on extracting and representing the meaning of the source text. It is scientifically the most challenging approach to the task of machine translation, and significant progress has been achieved within it in recent years. The authors introduce the general paradigm of knowledge-based MT, survey major recent developments, compare it with other approaches and present a paradigmatic view of its component processes-natural language analysis, natural language generation, text meaning representation, ontological modeling, etc. Special chapters are devoted to machine-aided translation, speech translation, and challenges and solutions for knowledge representation. Based on these analyses, as well as on a review of general trends in MT, the authors discuss interesting directions for future research and development. This book will be of interest to researchers and advanced students in machine translation, natural language processing, computational linguistics, artificial intelligence, and even to some philosophers of language and theoretical linguists.

Machine Translation: A Knowledge-Based Approach

Nirenburg, Sergei

Tomita, Masaru

Carbonell, Jaime

Words, Language & Grammar

Ap Professional

See the best price to sell, buy, or rent books by Goodman, Kenneth. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Goodman, Kenneth