2021
EMNLP
EMNLP 2021
FJWU Participation for the WMT21 Biomedical Translation Task
Abstract
AbstractIn this paper we present the FJWU’s system submitted to the biomedical shared task at WMT21. We prepared state-of-the-art multilingual neural machine translation systems for three languages (i.e. German, Spanish and French) with English as target language. Our NMT systems based on Transformer architecture, were trained on combination of in-domain and out-domain parallel corpora developed using Information Retrieval (IR) and domain adaptation techniques.
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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Healthcare & Medicine and Machine Learning and Natural Language Processing
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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
Authors
Topics
Artificial Intelligence > Core AI
Deep Learning > Architectures > Transformers
Natural Language Processing > Applications > Machine Translation
Healthcare & Medicine > Research > Bioinformatics
Natural Language Processing > Generation > Machine Translation
Machine Learning > Learning Types > Domain Adaptation