Литературное наследие XIX–XX веков: классификация растровых изображений для интеллектуального анализа и тематического моделирования корпуса рукописных текстов

Филологические науки. Научные доклады высшей школы. 2023. № 5. С. 160–165.

Penskaja E., Khachaturyan L.

The article examines the current trends in workingwith digital forms of handwritten heritage on the history of Russian literature of the second half of the 19 — mid-20 century. The process of forming virtual archives is analyzed as a gradual accumulation of the “big date” of scientific research — an unrecognized information array of raster documents containing tens of thousands of digital forms of archival documents. New approaches to classifying raster images of handwritten documents for use in intelligent analysis systems, experimental methods of visualization of archival documents,aswell as previously unused capabilities of the search engine are proposed. Much attention is paid to the architectonics of the manuscript: the transition from graphic elements of a raster image to semantic ones,which allows the use of data mining elements for an unrecognized data array.

Keywords: automatic image recognition, text mining, Растровое изображение, base of handwritten characters, архивное наследие, рукопись, интеллектуальный анализ текста (text mining), Archive data

Publication based on the results of: Russian Literature in the Social Dimension: SOCIOLIT – An Analytic Computation Platform (2023)