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A guide to tracing one's Ukrainian ancestry in Europe.
The solution to youth voter turnout requires focus on helping young people follow through on their political interests and intentions.
As urbanization progresses at a remarkable pace, policy makers and analysts come to understand and agree on key features that will make this process more efficient and inclusive, leading to gains in the welfare of citizens. Drawing on insights from economic geography and two centuries of experience in developed countries, the World Bank’s World Development Report 2009: Reshaping Economic Geography emphasizes key aspects that are fundamental to ensuring an efficient rural-urban transformation. Critical among these are land, as the most important resource, and well-functioning land markets. Regardless of the stage of urbanization, flexible and forward-looking institu- ons that help the efficient functioning of land markets are the bedrock of succe- ful urbanization strategies. In particular, institutional arrangements for allocating land rights and for managing and regulating land use have significant implica- ons for how cities deliver agglomeration economies and improve the welfare of their residents. Property rights, well-functioning land markets, and the management and servicing of land required to accommodate urban expansion and provide trunk infrastructure are all topics that arise as regions progress from incipient urbani- tion to medium and high density.
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Artificial Intelligence and Natural Language Processing is designed for students of computer science and linguistics at graduate and post-graduate levels, who have an interest in Natural Language Processing (NLP). This book balances the theoretical aspects of computer science and linguistics with their applications in NLP, keeping in mind the background of the students from either direction. Theories of linguistics such as phonology, morphology, syntax, semantics and lexicography are covered in the first section of the book. In the second, focus is given to theoretical aspects of computer science including AI, concepts of probability theory and approaches of machine learning. These two parts will provide students with the foundations of the field. The third part discusses the applications/tasks of NLP covering the areas of machine translation (MT) and grammar formalism in an Indian Language scenario, as well as speech processing.