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Detail projektu
Období řešení: 1.10.2019 — 30.9.2021
Zdroje financování
Evropská unie - Connecting Europe Facility (CEF)
O projektu
OCCAM (OCR, ClassificAtion & Machine Translation) responds to action line "Integration projects" on the integration (and extension) of CEF (Connecting Europe Facility) Automated Translation into multilingual digital cross-border services. The Action proposes the integration of image classification, Translation Memories (TMs), Optical Character Recognition (OCR), and Machine Translation (MT) to support the automated translation of scanned documents - a document type that currently cannot be processed by the CEF eTranslation service.OCCAM will develop two use cases: (i) the Business Registers Interconnection System (BRIS) use case and (ii) the Digital Humanities use case.
Popis českyOCCAM (OCR, ClassificAtion & Machine Translation) responds to action line "Integration projects" on the integration (and extension) of CEF (Connecting Europe Facility) Automated Translation into multilingual digital cross-border services. The Action proposes the integration of image classification, Translation Memories (TMs), Optical Character Recognition (OCR), and Machine Translation (MT) to support the automated translation of scanned documents - a document type that currently cannot be processed by the CEF eTranslation service.OCCAM will develop two use cases: (i) the Business Registers Interconnection System (BRIS) use case and (ii) the Digital Humanities use case.
Klíčová slova OCR, Classification, Machine Translation
Klíčová slova českyOCR, Classification, Machine Translation
Originální jazyk
angličtina
Řešitelé
Smrž Pavel, doc. RNDr., Ph.D. - hlavní řešitelHomoliak Ivan, doc. Ing., Ph.D. - spoluřešitelMichal Bohumil, Ing. - spoluřešitelMrazíková Libuše, Mgr. - spoluřešitelMusil Petr, Ing., Ph.D. - spoluřešitelNajman Pavel, Ing. - spoluřešitelOtáhalová Sylva - spoluřešitelPirová Zuzana, Ing. - spoluřešitel
Útvary
Ústav počítačové grafiky a multimédií- odpovědné pracoviště (28.8.2018 - nezadáno)Ústav počítačové grafiky a multimédií- příjemce (28.8.2018 - 30.9.2021)
Výsledky
KIŠŠ, M.; BENEŠ, K.; HRADIŠ, M. AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions. In Lladós J., Lopresti D., Uchida S. (eds) Document Analysis and Recognition - ICDAR 2021. Lecture Notes in Computer Science. Lausanne: Springer Nature Switzerland AG, 2021. p. 463-477. ISBN: 978-3-030-86336-4.Detail
Odpovědnost: Smrž Pavel, doc. RNDr., Ph.D.