The paper studies the phrasemics in works of V. Shkliar, a renowned contemporary author, represented his historical novel “Troshcha”, featuring national liberation struggle Ukrainian Insurgent Army against communist totalitarian regime Western Ukraine postwar period. contains important culture-oriented information and is an source studying phraseological units respect their structural semantic,...

The article examines the relevance and significance of historical personalities events in trilogy “Aq Zhaiyk” by Hamza Iksanuly Yesenzhanov, a painter who contributed his handwriting to twentieth century literature history Kazakhstan. October revolution West Kazakhstan Region is described comparison with presented trilogy. first book “About Revolution”, second “Strengthening”, third “Degtyariy ...

Timeline generation is a summarisation task which transforms a narrative, roughly chronological input text into a set of timestamped summary sentences, each expressing an atomic historical event. We present a methodology for evaluating systems which create such timelines, based on a novel corpus consisting of 36 humancreated timelines. Our evaluation relies on deep semantic units which we call ...

This paper discusses the process of compositing historical and modern photographs of an urban landscape into a novel view depicting structures from both time periods. Issues unique to this application of image compositing are addressed using techniques inspired by recent work in data-driven methods, and the use of these methods is demonstrated on an example scene. Finally, extensions of these t...

the post-9/11 fiction is regarded as one of the indispensable parts of contemporary american literature. prominent novelists such as martin amis, john updike, and don delillo have directly addressed the 9/11 terrorist events in their fiction. delillo’s novels, however, have been of especial interest to the literary circles due to their decades-long preoccupation with the issue of terrorism in i...

Historical Chinese character recognition is very important to larger scale historical document digitalization, but is a very challenging problem due to lack of labeled training samples. This paper proposes a novel nonlinear transfer learning method, namely Gaussian Process Style Transfer Mapping (GP-STM). The GP-STM extends traditional linear Style Transfer Mapping (STM) by using Gaussian proce...

Historical document collections are a valuable resource for human history. This paper proposes a novel digital image binarization scheme for low quality historical documents allowing further content exploitation in an efficient way. The proposed scheme consists of five distinct steps: a pre-processing procedure using a low-pass Wiener filter, a rough estimation of foreground regions using Nibla...