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Intelligent Information Processing and Web Mining
The international conference Intelligent Information Processing and Web Mining IIS:IIPWM’05, organized in Gda?sk-Sobieszewo on 13–16th June, 2005, was a continuation of a long tradition of conferences on applications of Arti?cial Intelligence (AI) in Information Systems (IS), organized by the Institute of Computer Science of Polish Academy of Sciences in cooperation with other scienti?c and business institutions. The Institute itself is deeply engaged in research both in AI and IS and many scientists view it as a leading institution both in fundamental and - plied research in these areas in Poland. The originators of this conference series, Prof. M. D?browski and Dr. M. Michalewicz had i...
The Origins of Modernism in Russian Architecture
The dramatic transformation of Russian architecture from the 1880s to the 1917 revolution reflected the profound changes in Russian society as it entered the modern industrial age. William Craft Brumfield examines the extraordinary diversity of architectural styles in this period and traces the search by architects and critics for a "unifying idea" that would define a new architecture. Generously illustrated with archival materials and with the author's own superb photographs, this is the first comprehensive study by a Western scholar of a neglected period in European architectural and cultural history. Brumfield explores the diverse styles of Russian modernism in part by analyzing the conte...
Human-Machine Interaction in Translation
Includes 19 papers which were selected for presentation at the workshop and the text of invite keynote lectures. The workshop provided an attractive interdisciplinary forum for fostering interactions among researchers and practitioners in Natural Language Processing (NLP) working within the paradigm of Cognitive Science (CS)
Similar Languages, Varieties, and Dialects
Studying language variation requires comprehensive interdisciplinary knowledge and new computational tools. This essential reference introduces researchers and graduate students in computer science, linguistics, and NLP to the core topics in language variation and the computational methods applied to similar languages, varieties, and dialects.
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Leucine-Rich Repeat Kinase 2 (LRRK2)
This is the first book to assemble the leading researchers in the field of LRRK2 biology and neurology and provide a snapshot of the current state of knowledge, encompassing all major aspects of its function and dysfunction. The contributors are experts in cell biology and physiology, neurobiology, and medicinal chemistry, bringing a multidisciplinary perspective on the gene and its role in disease. The book covers the identification of LRRK2 as a major contributor to the pathogenesis of Parkinson's Disease. It also discusses the current state of the field after a decade of research, putative normal physiological roles of LRRK2, and the various pathways that have been identified in the search for the mechanism(s) of its induction of neurodegeneration.
Africa's Endangered Languages
This book examines the endangered languages of Africa from both documentary and theoretical perspectives, highlighting the threats of extinction many of them face and the challenges and implications each bring to bear on linguistic theory. It focuses on the symbiosis between documentary and theoretical methodologies, and its consequences for the preservation of endangered languages, both in the African context and more broadly.
Hybrid Approaches to Machine Translation
This volume provides an overview of the field of Hybrid Machine Translation (MT) and presents some of the latest research conducted by linguists and practitioners from different multidisciplinary areas. Nowadays, most important developments in MT are achieved by combining data-driven and rule-based techniques. These combinations typically involve hybridization of different traditional paradigms, such as the introduction of linguistic knowledge into statistical approaches to MT, the incorporation of data-driven components into rule-based approaches, or statistical and rule-based pre- and post-processing for both types of MT architectures. The book is of interest primarily to MT specialists, but also – in the wider fields of Computational Linguistics, Machine Learning and Data Mining – to translators and managers of translation companies and departments who are interested in recent developments concerning automated translation tools.
