Frederic Everaert


2020

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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
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation

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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CEFAT4Cities, a Natural Language Layer for the ISA2 Core Public Service Vocabulary
Joachim Van den Bogaert | Arne Defauw | Sara Szoc | Frederic Everaert | Koen Van Winckel | Alina Kramchaninova | Anna Bardadym | Tom Vanallemeersch
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation

The CEFAT4Cities project (2020-2022) will create a “Smart Cities natural language context” (a software layer that facilitates the conversion of natural-language administrative procedures, into machine-readable data sets) on top of the existing ISA2 interoperability layer for public services. Integration with the FIWARE/ORION “Smart City” Context Broker, will make existing, paper-based, public services discoverable through “Smart City” frameworks, thus allowing for the development of more sophisticated and more user-friendly public services applications. An automated translation component will be included, to provide a solution that can be used by all EU Member States. As a result, the project will allow EU citizens and businesses to interact with public services on the city, national, regional and EU level, in their own language.

2019

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APE-QUEST
Joachim Van den Bogaert | Heidi Depraetere | Sara Szoc | Tom Vanallemeersch | Koen Van Winckel | Frederic Everaert | Lucia Specia | Julia Ive | Maxim Khalilov | Christine Maroti | Eduardo Farah | Artur Ventura
Proceedings of Machine Translation Summit XVII Volume 2: Translator, Project and User Tracks

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MICE
Joachim Van den Bogaert | Heidi Depraetere | Tom Vanallemeersch | Frederic Everaert | Koen Van Winckel | Katri Tammsaar | Ingmar Vali | Tambet Artma | Piret Saartee | Laura Katariina Teder | Artūrs Vasiļevskis | Valters Sics | Johan Haelterman | David Bienfait
Proceedings of Machine Translation Summit XVII Volume 2: Translator, Project and User Tracks

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Collecting domain specific data for MT: an evaluation of the ParaCrawlpipeline
Arne Defauw | Tom Vanallemeersch | Sara Szoc | Frederic Everaert | Koen Van Winckel | Kim Scholte | Joris Brabers | Joachim Van den Bogaert
Proceedings of Machine Translation Summit XVII Volume 2: Translator, Project and User Tracks

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Developing a Neural Machine Translation system for Irish
Arne Defauw | Sara Szoc | Tom Vanallemeersch | Anna Bardadym | Joris Brabers | Frederic Everaert | Kim Scholte | Koen Van Winckel | Joachim Van den Bogaert
Proceedings of the 2nd Workshop on Technologies for MT of Low Resource Languages