OCR, Classification& Machine Translation (OCCAM)

Joachim Van den Bogaert, Arne Defauw, Frederic Everaert, Koen Van Winckel, Alina Kramchaninova, Anna Bardadym, Tom Vanallemeersch, Pavel Smrž, Michal Hradiš


Abstract
The OCCAM project (Optical Character recognition, ClassificAtion & Machine Translation) aims at integrating the CEF (Connecting Europe Facility) Automated Translation service with image classification, Translation Memories (TMs), Optical Character Recognition (OCR), and Machine Translation (MT). It will support the automated translation of scanned business documents (a document format that, currently, cannot be processed by the CEF eTranslation service) and will also lead to a tool useful for the Digital Humanities domain.
Anthology ID:
2020.eamt-1.62
Volume:
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation
Month:
November
Year:
2020
Address:
Lisboa, Portugal
Editors:
André Martins, Helena Moniz, Sara Fumega, Bruno Martins, Fernando Batista, Luisa Coheur, Carla Parra, Isabel Trancoso, Marco Turchi, Arianna Bisazza, Joss Moorkens, Ana Guerberof, Mary Nurminen, Lena Marg, Mikel L. Forcada
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
481–482
Language:
URL:
https://aclanthology.org/2020.eamt-1.62
DOI:
Bibkey:
Cite (ACL):
Joachim Van den Bogaert, Arne Defauw, Frederic Everaert, Koen Van Winckel, Alina Kramchaninova, Anna Bardadym, Tom Vanallemeersch, Pavel Smrž, and Michal Hradiš. 2020. OCR, Classification& Machine Translation (OCCAM). In Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, pages 481–482, Lisboa, Portugal. European Association for Machine Translation.
Cite (Informal):
OCR, Classification& Machine Translation (OCCAM) (Van den Bogaert et al., EAMT 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.eamt-1.62.pdf