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2020 EMNLP EMNLP 2020

FJWU participation for the WMT20 Biomedical Translation Task

Abstract

AbstractThis paper reports system descriptions for FJWU-NRPU team for participation in the WMT20 Biomedical shared translation task. We focused our submission on exploring the effects of adding in-domain corpora extracted from various out-of-domain sources. Systems were built for French to English using in-domain corpora through fine tuning and selective data training. We further explored BERT based models specifically with focus on effect of domain adaptive subword units.

🧭 Keyword Pioneer — in-domain corpus
🐝 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

Sumbal Naz , Sadaf Abdul Rauf , Noor-e- Hira , Sami Ul Haq

Topics

Machine Learning > Application Areas > Domain Adaptation

Keywords

domain adaptation neural machine translation subword unit biomedical translation in-domain corpus bert based model
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