The Concise Oxford Dictionary of Linguistics by Peter Matthews

The Concise Oxford Dictionary of Linguistics by Peter Matthews

This invaluable work is the most authoritative dictionary of linguistics of its kind available. Clear and concise, it contains over 3,000 entries ranging from epiglottal and morpheme to Austronesian and Navajo. Entries cover every aspect of linguistics including language theory and history, language families and major languages from all over the world, and key figures and ideas in linguistics. The author, Peter Matthews, is Professor of Linguistics at Cambridge University and an established expert in the field of linguistics. Wide-ranging and accessible, this dictionary is ideal reference for students and teachers, and a great introduction to linguistics for anyone with an interest in language and its study.

Peter Matthews, based in the UK, is a writer and research scientist. Peter has more than 40 years of IT experience ranging from mainframe/Unix programming, development and relational databases to secure cloud computing, DevOps and cobotics. Peter's research work has been concerned with leading edge technology for a major proportion of that time. Projects have included machine learning algorithms for soccer clubs, multi-level secure database systems and object-oriented application infrastructures. He has also led groups investigating the influence of macro social, political and economic trends on future technology.

Peter's current research is focused on automation and robotics. Past research has covered Internet of Things, cloud computing, data curation, smart buildings and cobotics. Peter has been the CA project lead on cobotics under the auspices of the Centre for Visual and Decision Informatics, a USA National Science Foundation initiative.

Peter has authored and co-authored academic papers including Data Is the New Currency in the proceedings of New Security Paradigms Workshop. Other writing includes books on Ingres Visual Programming, co-authoring of The Innovative CIO: How IT Leaders Can Drive Business Innovation and co-editor/contributor to MOdel-Driven Approach for design and execution of applications on multiple Clouds

Steven Greenspan, PhD is an innovator of information and communications technology (ICT), with over 50 publications in peer-reviewed journals and 79 US patents, including the first patent to describe two-factor and two-device authentication and authorization. This invention is widely used throughout the world to ensure secure access to web services and it showcased the value of keeping the human-in-the-loop. His current research interests include user experience and collaboration in complex systems, differential privacy, ethical decision-making, and innovative approaches for integrating scientific research into socially responsible applications and services. Outside of his professional work, he devotes much of his time to community groups that focus on environmental, economic and social justice. He also serves on the advisory boards of the AABGU/ Philadelphia Academic Bridge, and several startups.

Steve has a PhD in Cognitive Psychology from the State University of New York at Buffalo and conducted postdoctoral research at the University of California at San Diego and Indiana University. During the writing of this book, he was a Visiting Scholar at the University of Virginia. Previously, he was a Research Scientist and Vice President of Strategic Research at CA Technologies managing an international team of information technology scientists. He has also consulted to Avaya on the UX design of mobile phones, and was a Distinguished Member of the Technical Staff at AT&T Bell Laboratories.

SKU	Non disponible
ISBN 13	9780198610502
ISBN 10	0198610505
Title	The Concise Oxford Dictionary of Linguistics
Author	Peter Matthews
Condition	Non disponible
Binding type	Paperback
Publisher	Oxford University Press
Year published	2005-10-01
Number of pages	421
Cover note	La photo du livre est présentée à titre d'illustration uniquement. La reliure, la couverture ou l'édition réelle peuvent varier.
Note	Non disponible