The University of Maryland’s Kazakh-English Neural Machine Translation System at WMT19

Abstract

This 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.

Publication
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers)
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Eleftheria Briakou
Ph.D. Student

My research interests include semantics, multilingual NLP and machine translation.