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2021 EMNLP EMNLP 2021

NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021

Abstract

AbstractWe describe our neural machine translation systems for the 2021 shared task on Unsupervised and Very Low Resource Supervised MT, translating between Upper Sorbian and German (low-resource) and between Lower Sorbian and German (unsupervised). The systems incorporated data filtering, backtranslation, BPE-dropout, ensembling, and transfer learning from high(er)-resource languages. As measured by automatic metrics, our systems showed strong performance, consistently placing first or tied for first across most metrics and translation directions.

🌉 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

Rebecca Knowles , Samuel Larkin

Topics

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

Keywords

transfer learning ensemble learning neural machine translation model ensembling data filtering unsupervised machine translation
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