Cultural heritage: intellectual analysis of handwritten text

Пенская Елена Наумовна
доктор филологических наук, профессор школы филологических наук, научный руководитель факультета гуманитарных наук НИУ ВШЭ, руководитель исследовательской группы Центра междисциплинарных исследований МФТИ, Москва, Россия

Хачатурян Любовь Валерьевна
кандидат культурологии, доцент школы филологических наук НИУ ВШЭ, старший научный сотрудник Центра междисциплинарных исследований МФТИ, Москва, Россия


Development of tools for modern methods of intellectual analysis of big data contained in raster handwritten documents of the XVIII–XX centuries for recognition, compilation and research of large text corpora; thematic modeling and Data Mining – application of methods of the latest developments in the field of artificial intelligence to the tasks of traditional humanities disciplines.
Formation of a bank of search theoretical and experimental problems.
The transition from graphical analysis of system elements to semantics, which allows us to draw conclusions about the composition and content of a handwritten source.Creation of an automated navigation system.
Approaches to thematic modeling of handwritten documents.
The practical result is a patented program for working with unstructured data arrays, which provides management of the corpus of raster images of handwritten documents.

Ключевые слова: thematic modeling, Data Mining, Big Data Manuscripts, segmentation of handwritten sources, graphical analysis, system elements, semantics