Zobrazeno 1 - 7
of 7
pro vyhledávání: '"romanian cyrillic"'
Autor:
Tudor Bumbu
Publikováno v:
Computer Science Journal of Moldova, Vol 29, Iss 3(87), Pp 291-298 (2021)
This paper presents a solution on how to classify the fonts in the 17th century Romanian Cyrillic documents. This solution is based on a mix of unsupervised and supervised machine learning technics. The unsupervised process is the application of K-Me
Externí odkaz:
https://doaj.org/article/92eee104f03d44ef9143515e5ec95b5c
Autor:
Burlacu, Constanta, Rabus, Achim
Publikováno v:
Diacronia. (14):1-10
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1034226
Autor:
Burlacu, Constanta, Rabus, Achim
Publikováno v:
Diacronia. (14):1-9
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1034228
Autor:
Onilov, Tatiana
Publikováno v:
Anuarul Institutului de Istorie »George Bariţiu« - Series HISTORICA - Supliment / Yearbook of the »George Bariţiu« Institute of History - Series HISTORICA - Supplement. LIX(LIX/Sup):273-286
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=850651
Autor:
Zabolotna Nataliia
Publikováno v:
Наукові праці Національної бібліотеки України імені В.І. Вернадського, Iss 51, Pp 76-90 (2019)
The book monuments originating from the territory of the principalities of Moldavia and Wallachia are a relatively small but extremely interesting and original part of the Cyrillic old-time printed books collection of the VNLU. Many of them also show
Externí odkaz:
https://doaj.org/article/ffcf41e7ea4a45f19d6d4e18e304f347
Autor:
Lőrinczi, Réka
Publikováno v:
Acta Linguistica Hungarica (Since 2017 Acta Linguistica Academica). 56(2-3):169-200
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=622569
Autor:
Valentina DEMIDOVA, Ludmila BURȚEVA
Publikováno v:
Akademos: Revista de Ştiinţă, Inovare, Cultură şi Artă, Vol Nr. 1, Iss 44, Pp 24-28 (2017)
Presented paper concerns problems which arise together with growing of databases of scanned ancient texts. Historical text saved as image is unsuited for modern methods of textual information processing. Automatic digitization resolves this problem,