CUNI Submissions in WMT18
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10390165" target="_blank" >RIV/00216208:11320/18:10390165 - isvavai.cz</a>
Result on the web
<a href="http://www.statmt.org/wmt18/pdf/WMT043.pdf" target="_blank" >http://www.statmt.org/wmt18/pdf/WMT043.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
CUNI Submissions in WMT18
Original language description
We participated in the WMT 2018 shared news translation task in three language pairs: English-Estonian, English-Finnish, and English-Czech. Our main focus was the lowresource language pair of Estonian and English for which we utilized Finnish parallel data in a simple method. We first train a "parent model" for the high-resource language pair followed by adaptation on the related lowresource language pair. This approach brings a substantial performance boost over the baseline system trained only on Estonian-English parallel data. Our systems are based on the Transformer architecture. For the English to Czech translation, we have evaluated our last year models of hybrid phrase-based approach and neural machine translation mainly for comparison purposes.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
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)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Third Conference on Machine Translation, Volume 2: Shared Tasks
ISBN
978-1-948087-81-0
ISSN
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e-ISSN
neuvedeno
Number of pages
7
Pages from-to
435-441
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Bruxelles, Belgium
Event date
Oct 31, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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