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NRC-CNRC systems for Upper Sorbian-German and Lower Sorbian-German machine translation 2021

From National Research Council Canada

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Affiliation
  1. National Research Council of Canada. Digital Technologies
FormatText, Article
ConferenceSixth Conference on Machine Translation (WMT 2021), November 10-11, 2021 [Held Online]
Abstract
We describe our neural machine translation systems for the 2021 shared task on Unsupervised and Very Low Resource Supervised MT, translating between Upper Sorbian and German (low-resource) and between Lower Sorbian and German (unsupervised). The systems incorporated data filtering, backtranslation, BPE-dropout, ensembling, and transfer learning from high(er)-resource languages. As measured by automatic metrics, our systems showed strong performance, consistently placing first or tied for first across most metrics and translation directions.
Publication date
PublisherAssociation for Computational Linguistics
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  • Proceedings of the Sixth Conference on Machine Translation, 2021.wmt-1.107 (November 2021): 999–1008.
LanguageEnglish
Peer reviewedYes
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Record identifierf14a145b-7bb9-4b03-8aed-600fc2e3b844
Record created2022-01-17
Record modified2024-06-06
Date modified: