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  (), 07-04-12140.

  05 2010 . , ()  ,   77 - 41581. . . .

(c) " ", 2008-2017

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16.08.2012 .

Summary. The article is presented the base models of new Russian-Tatar lexicographical database. Lexicographical database consists of interrelated components (Russian and Tatar) with an independent structure. The components are merged by semantic codes at the level of lexical equivalents. Each component contains a grammatical, semantic and derivational information. Component of the new Turkic language will have a structure similar to the structure of the Tatar component. The article discusses the basic design problems of new Turkic components and also technologies of extension of lexicographic database by adding new components.

 
( XIIXIII .) PDF E-mail
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11.08.2012 .

Summary. In this article there are presented some results of the Trinity Miscellany’s (Troitsky sbornik) of the 12th13th centuries complex investigating. These results were achieved owing to including methods of computer analysis data and their visual presentation in histograms. Using methods by L. Moskaleva in our research confirm efficiency of this methods and its perspective for different linguistic researches.

 
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11.08.2012 .

Summary. Features of acts of the Ruthenian (Volhynian) Metrica books are analysed. Technological nuances of preparation of the electronic publication of these texts are shown.

 
Modern Technologies for Manuscript Research PDF E-mail
(): Melanie Gau, Fabian Hollaus   
10.08.2012 .

Summary. This paper presents an overview of image acquisition and post-processing technologies developed in the interdisciplinary project The Enigma of the Sinaitic Glagolitic Tradition. A multi-spectral image recording system using a combination of LED illumination and spectral filtering is described. The possibilities of two different methods of Blind Source Separation, namely Principal Component Analysis (PCA) and Independent Component Analysis (ICA), applied on palimpsest documents are discussed in combination with multispectral input information. We also introduce a new approach to Optical Character Recognition (OCR) that is independent of preceding segmentation of fore- and background, but is based upon local descriptor information. Finally we present a handy and fast image viewer program specialized on multispectral and low contrast images.
 
( II - IV ) PDF E-mail
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10.08.2012 .

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