MUNI-NLP Systems for Lower Sorbian-German and Lower Sorbian-Upper Sorbian Machine Translation @ WMT22

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00127415" target="_blank" >RIV/00216224:14330/22:00127415 - isvavai.cz</a>
Result on the web
<a href="https://www.statmt.org/wmt22/pdf/2022.wmt-1.109.pdf" target="_blank" >https://www.statmt.org/wmt22/pdf/2022.wmt-1.109.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
MUNI-NLP Systems for Lower Sorbian-German and Lower Sorbian-Upper Sorbian Machine Translation @ WMT22
Original language description
We describe our neural machine translation systems for the WMT22 shared task on unsupervised MT and very low resource supervised MT. We submit supervised NMT systems for Lower Sorbian-German and Lower Sorbian-Upper Sorbian translation in both directions. By using a novel tokenization algorithm, data augmentation techniques, such as Data Diversification (DD), and parameter optimization we improve on our baselines by 10.5-10.77 BLEU for Lower Sorbian-German and by 1.52-1.88 BLEU for Lower Sorbian-Upper Sorbian.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Seventh Conference on Machine Translation
ISBN
9781959429296
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1111-1116
Publisher name
Association for Computational Linguistics
Place of publication
Abu Dhabi
Event location
Abu Dhabi, UAE
Event date
Dec 9, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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