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2020 EMNLP EMNLP 2020

NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical Modifications

Abstract

AbstractWe describe the National Research Council of Canada (NRC) neural machine translation systems for the German-Upper Sorbian supervised track of the 2020 shared task on Unsupervised MT and Very Low Resource Supervised MT. Our models are ensembles of Transformer models, built using combinations of BPE-dropout, lexical modifications, and backtranslation.

🌉 Interdisciplinary Bridge — Deep Learning and Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — lexical modification
🐝 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

Rebecca Knowles , Samuel Larkin , Darlene Stewart , Patrick Littell

Topics

Natural Language Processing > Applications > Machine Translation Machine Learning > Learning Paradigms > Transfer Learning Natural Language Processing > Generation > Machine Translation Deep Learning > Learning Types > Transfer Learning

Keywords

transfer learning ensemble learning neural machine translation transformer model lexical modification
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