2020
EMNLP
EMNLP 2020
LIMSI @ WMT 2020
Abstract
AbstractThis paper describes LIMSI’s submissions to the translation shared tasks at WMT’20. This year we have focused our efforts on the biomedical translation task, developing a resource-heavy system for the translation of medical abstracts from English into French, using back-translated texts, terminological resources as well as multiple pre-processing pipelines, including pre-trained representations. Systems were also prepared for the robustness task for translating from English into German; for this large-scale task we developed multi-domain, noise-robust, translation systems aim to handle the two test conditions: zero-shot and few-shot domain adaptation.
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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Machine Learning and Natural Language Processing
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Keyword Pioneer
— terminology resource
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Topics
Machine Learning > Learning Types > Zero-Shot Learning
Machine Learning > Application Areas > Domain Adaptation
Natural Language Processing > Applications > Machine Translation
Machine Learning > Learning Types > Transfer Learning
Natural Language Processing > Generation > Machine Translation
Machine Learning > Learning Types > Domain Adaptation
Artificial Intelligence > Core AI > Language
Deep Learning > Learning Types > Transfer Learning