@inproceedings{van-den-bogaert-etal-2020-ocr,
title = "{OCR}, Classification{\&} Machine Translation ({OCCAM})",
author = "Van den Bogaert, Joachim and
Defauw, Arne and
Everaert, Frederic and
Van Winckel, Koen and
Kramchaninova, Alina and
Bardadym, Anna and
Vanallemeersch, Tom and
Smr{\v{z}}, Pavel and
Hradi{\v{s}}, Michal",
booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
month = nov,
year = "2020",
address = "Lisboa, Portugal",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2020.eamt-1.62",
pages = "481--482",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T OCR, Classification& Machine Translation (OCCAM)
%A Van den Bogaert, Joachim
%A Defauw, Arne
%A Everaert, Frederic
%A Van Winckel, Koen
%A Kramchaninova, Alina
%A Bardadym, Anna
%A Vanallemeersch, Tom
%A Smrž, Pavel
%A Hradiš, Michal
%S Proceedings of the 22nd Annual Conference of the European Association for Machine Translation
%D 2020
%8 November
%I European Association for Machine Translation
%C Lisboa, Portugal
%F van-den-bogaert-etal-2020-ocr
%X 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.
%U https://aclanthology.org/2020.eamt-1.62
%P 481-482
Markdown (Informal)
[OCR, Classification& Machine Translation (OCCAM)](https://aclanthology.org/2020.eamt-1.62) (Van den Bogaert et al., EAMT 2020)
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.