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2020 EMNLP EMNLP 2020

CUNI Submission for the Inuktitut Language in WMT News 2020

Abstract

AbstractThis paper describes CUNI submission to the WMT 2020 News Translation Shared Task for the low-resource scenario Inuktitut–English in both translation directions. Our system combines transfer learning from a Czech–English high-resource language pair and backtranslation. We notice surprising behaviour when using synthetic data, which can be possibly attributed to a narrow domain of training and test data. We are using the Transformer model in a constrained submission.

🌉 Interdisciplinary Bridge — Deep Learning and Machine Learning and Natural Language Processing
🐝 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

Tom Kocmi

Topics

Machine Learning > Learning Types > Semi-Supervised Learning Machine Learning > Learning Types > Transfer Learning Natural Language Processing > Generation > Machine Translation Deep Learning > Models > Transformers Deep Learning > Learning Types > Transfer Learning

Keywords

transfer learning machine translation neural machine translation low-resource language transformer model
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