2019
ACL
ACL 2019
PROMT Systems for WMT 2019 Shared Translation Task
Abstract
AbstractThis paper describes the PROMT submissions for the WMT 2019 Shared News Translation Task. This year we participated in two language pairs and in three directions: English-Russian, English-German and German-English. All our submissions are Marian-based neural systems. We use significantly more data compared to the last year. We also present our improved data filtering pipeline.
🌉
Interdisciplinary Bridge
— Deep Learning and Machine Learning and Natural Language Processing
📈
Trend Setter
— Data Augmentation
🧭
Keyword Pioneer
— marian nmt
🐝
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, Speech & Audio
Authors
Topics
Machine Learning > Optimization & Theory > Optimization
Machine Learning > Application Areas > Data Augmentation
Natural Language Processing > Generation > Machine Translation
Deep Learning > Models > Neural Networks
Deep Learning > Techniques > Data Augmentation
Deep Learning > Learning Types > Machine Translation