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
Export citation
@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",
editor = "Martins, Andr{\'e} and
Moniz, Helena and
Fumega, Sara and
Martins, Bruno and
Batista, Fernando and
Coheur, Luisa and
Parra, Carla and
Trancoso, Isabel and
Turchi, Marco and
Bisazza, Arianna and
Moorkens, Joss and
Guerberof, Ana and
Nurminen, Mary and
Marg, Lena and
Forcada, Mikel L.",
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 %Y Martins, André %Y Moniz, Helena %Y Fumega, Sara %Y Martins, Bruno %Y Batista, Fernando %Y Coheur, Luisa %Y Parra, Carla %Y Trancoso, Isabel %Y Turchi, Marco %Y Bisazza, Arianna %Y Moorkens, Joss %Y Guerberof, Ana %Y Nurminen, Mary %Y Marg, Lena %Y Forcada, Mikel L. %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)
- OCR, Classification& Machine Translation (OCCAM) (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.