Machine Translation of Medical Texts in the Khresmoi Project

By Ondrej Dusek, Jan Hajic, Jaroslava Hlavácová, Michal Novák, Pavel Pecina, Rudolf Rosa, Ales Tamchyna, Zdenka Uresová, Daniel Zeman. 2014

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This paper presents the participation of the Charles University team in the WMT 2014 Medical Translation Task. Our systems are developed within the Khresmoi project, a large integrated project aiming to deliver a multi-lingual multi-modal search and access system for biomedical information and documents. Being involved in the organization of the Medical Translation Task, our primary goal is to set up a baseline for both its subtasks (summary translation and query translation) and for all translation directions. Our systems are based on the phrasebased Moses system and standard methods for domain adaptation. The constrained/unconstrained systems differ in the training data only.

Subfields: Artificial Intelligence, Molecular Biology, Machine Translation, Medical & Health AI