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.

Description in Czech
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.

Keywords
OCR, Classification, Machine Translation

Key words in Czech
OCR, Classification, Machine Translation

English

Smrž Pavel, doc. RNDr., Ph.D. - principal person responsible
Homoliak Ivan, doc. Ing., Ph.D. - fellow researcher
Michal Bohumil, Ing. - fellow researcher
Mrazíková Libuše, Mgr. - fellow researcher
Musil Petr, Ing., Ph.D. - fellow researcher
Najman Pavel, Ing. - fellow researcher
Otáhalová Sylva - fellow researcher
Pirová Zuzana, Ing. - fellow researcher

Department of Computer Graphics and Multimedia
- responsible department (28.8.2018 - not assigned)
CrossLang
- co-beneficiary (28.8.2018 - 30.9.2021)
Department of Computer Graphics and Multimedia
- beneficiary (28.8.2018 - 30.9.2021)

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

Responsibility: Smrž Pavel, doc. RNDr., Ph.D.