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2019 ACL ACL 2019

Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation

Abstract

AbstractWe describe the neural machine translation (NMT) system developed at the National Research Council of Canada (NRC) for the Kazakh-English news translation task of the Fourth Conference on Machine Translation (WMT19). Our submission is a multi-source NMT taking both the original Kazakh sentence and its Russian translation as input for translating into English.

🌉 Interdisciplinary Bridge — Deep 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

Patrick Littell , Chi-kiu Lo , Samuel Larkin , Darlene Stewart

Topics

Deep Learning > Architectures > Transformers Natural Language Processing > Applications > Machine Translation Natural Language Processing > Generation > Machine Translation Deep Learning > Learning Types > Deep Learning

Keywords

transformer architecture neural machine translation multi-source translation multi-source neural machine translation
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