2019
ACL
ACL 2019
The University of Maryland’s Kazakh-English Neural Machine Translation System at WMT19
Abstract
AbstractThis paper describes the University of Maryland’s submission to the WMT 2019 Kazakh-English news translation task. We study the impact of transfer learning from another low-resource but related language. We experiment with different ways of encoding lexical units to maximize lexical overlap between the two language pairs, as well as back-translation and ensembling. The submitted system improves over a Kazakh-only baseline by +5.45 BLEU on newstest2019.
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Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing
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Hot Topic Early Bird
- low-resource language
Authors
Topics
Artificial Intelligence > Learning Paradigms > Transfer Learning
Machine Learning > Application Areas > Domain Adaptation
Natural Language Processing > Applications > Machine Translation
Machine Learning > Learning Types > Transfer Learning
Deep Learning > Learning Types > Deep Learning
Deep Learning > Learning Types > Transfer Learning
Machine Learning > Learning Types > Multi-Lingual Learning
Machine Learning > Learning Types > Machine Translation