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 Compiler Design: Virtual Machines
While compilers for high-level programming languages are large complex software systems, they have particular characteristics that differentiate them from other software systems. Their functionality is almost completely well-defined – ideally there exist complete precise descriptions of the source and target languages, while additional... |  |  The iPad Project Book
Bridging the gap between the palm-sized iPod touch and a full-sized computer, Apple's iPad offers enough screen area and horsepower to perform the day-to-day tasks most people want to do. Packed with practical knowledge, this book will walk readers through how to manage their most common projects, from the simple (setting up a calendar... |  |  Sanskrit Computational Linguistics: 4th International Symposium, New Delhi, India
This volume constitutes the refereed proceedings of the 4th International Symposium on Sanskrit Computational Linguistics, held in New Delhi, India, in December 2010. The 18 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers can be categorized under following broad areas such as phonology... |
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 Apple Pro Training Series: Final Cut Pro for Avid Editors (4th Edition)
This is one book where, in fact, we do wish to compare apples to oranges. As often as possible,
we describe an Avid function and then describe the equivalent Final Cut Pro function
and how to access and apply it. In addition, the book offers images of Avid screens,
buttons, and icons so you can get your bearings... |  |  Handbook of Natural Language Processing, Second Edition
As the title of this book suggests, it is an update of the first edition of the Handbook of Natural Language
Processing which was edited by Robert Dale, Hermann Moisl, and Harold Somers and published in the
year 2000. The vigorous growth of new methods in Natural Language Processing (henceforth, NLP) since
then, strongly suggested that... |  |  Markov Models for Pattern Recognition: From Theory to Applications
The development of pattern recognition methods on the basis of so-called Markov
models is tightly coupled to the technological progress in the field of automatic
speech recognition. Today, however, Markov chain and hidden Markov models are
also applied in many other fields where the task is the modeling and analysis of
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