Download | - View final version: Multi-source transformer for Kazakh-Russian-English neural machine translation (PDF, 379 KiB)
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DOI | Resolve DOI: https://doi.org/10.18653/v1/W19-5326 |
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Author | Search for: Littell, Patrick1; Search for: Lo, Chi-Kiu1; Search for: Larkin, Samuel1; Search for: Stewart, Darlene1 |
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Affiliation | - National Research Council of Canada. Digital Technologies
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Format | Text, Article |
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Conference | The Fourth Conference on Machine Translation, August 1-2, 2019, Florence, Italy |
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Abstract | 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. |
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Publication date | 2019 |
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Publisher | Association for Computational Linguistics |
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In | |
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Language | English |
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Peer reviewed | Yes |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | ab65b956-059a-4ac6-8658-63e9927dd83f |
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Record created | 2019-12-19 |
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Record modified | 2020-05-30 |
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