Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation
By Patrick Littell, Chi-kiu (羅致翹) Lo, Samuel Larkin, Darlene A. Stewart. 2019
17 citations recorded by the source corpus.
We 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.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
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In Artificial Intelligence
- Ondrej Bojar
- Philipp Koehn
- Rico Sennrich
- Graham Neubig
- Felix Stahlberg
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- Matt Post
- Yonatan Belinkov
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- Marta Ruiz Costa-jussà
- Ondrej Bojar
- Matt Post
- Christof Monz
- Graham Neubig
- Loïc Barrault
Citations in the corpus
- Findings of the 2019 Conference on Machine Translation (WMT19) (2019, background): “NRC National Research Council of Canada (Littell et al., 2019)”