| Download | - View accepted manuscript: NRC systems for low resource German-Upper Sorbian machine translation 2020: transfer learning with lexical modifications (PDF, 343 KiB)
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| Author | Search for: Knowles, Rebecca1; Search for: Larkin, Samuel1; Search for: Stewart, Darlene1; Search for: Littell, Patrick1 |
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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 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 19-20, 2020 [Held Online] |
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| Abstract | We describe the National Research Council of Canada (NRC) neural machine translation systems for the German–Upper Sorbian supervised track of the 2020 shared task on Unsupervised MT and Very Low Resource Supervised MT. Our models are ensembles of Transformer models, built using combinations of BPE-dropout, lexical modifications, and backtranslation. |
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| Publication date | 2020-11-19 |
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| Date created | 2020-11-30 |
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| Publisher | Association of 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 | d740032c-cde5-4a43-aea1-aeb8c8ecde56 |
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| Record created | 2020-11-30 |
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| Record modified | 2020-12-02 |
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