FJWU participation for the WMT20 Biomedical Translation Task
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10427016" target="_blank" >RIV/00216208:11320/20:10427016 - isvavai.cz</a>
Result on the web
<a href="https://www.aclweb.org/anthology/2020.wmt-1.92" target="_blank" >https://www.aclweb.org/anthology/2020.wmt-1.92</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
FJWU participation for the WMT20 Biomedical Translation Task
Original language description
This paper reports system descriptions for FJWU-NRPU team for participation in the WMT20 Biomedical shared translation task. We focused our submission on exploring the effects of adding in-domain corpora extracted from various out-of-domain sources. Systems were built for French to English using in-domain corpora through fine tuning and selective data training. We further explored BERT based models specifically with focus on effect of domain adaptive subword units.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů