Abstract | ||
---|---|---|
The OCCAM project (Optical Character recognition, ClassificAtion \u0026 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. |
Year | Venue | DocType |
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2020 | EAMT | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Joachim Van den Bogaert | 1 | 0 | 3.72 |
Arne Defauw | 2 | 0 | 1.01 |
Frederic Everaert | 3 | 0 | 1.35 |
Koen Van Winckel | 4 | 0 | 1.69 |
Alina Kramchaninova | 5 | 0 | 0.68 |
Anna Bardadym | 6 | 0 | 0.68 |
Tom Vanallemeersch | 7 | 6 | 6.32 |
Pavel Smrz | 8 | 4 | 1.42 |
Michal Hradis | 9 | 132 | 14.19 |