The University of Maryland's Kazakh-English Neural Machine Translation System at WMT19
2019-08-01WS 2019Unverified0· sign in to hype
Eleftheria Briakou, Marine Carpuat
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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.