The University of Edinburgh’s English-German and English-Hausa Submissions to the WMT21 News Translation Task

27793

Authors

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Abstract

AbstractThis paper presents the University of Edinburgh’s constrained submissions of English-German and English-Hausa systems to the WMT 2021 shared task on news translation. We build En-De systems in three stages: corpus filtering, back-translation, and fine-tuning. For En-Ha we use an iterative back-translation approach on top of pre-trained En-De models and investigate vocabulary embedding mapping.

Keywords

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Full Content

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Labeled Text

AbstractThis paper presents the University of Edinburgh’s constrained submissions of English-German and English-Hausa systems to the WMT 2021 shared task on news translation. We build En-De systems in three stages: corpus filtering, back-translation, and fine-tuning. For En-Ha we use an iterative back-translation approach on top of pre-trained En-De models and investigate vocabulary embedding mapping.

Publication Details

Paper ID:
27793
Year:
2021
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan