CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10424493" target="_blank" >RIV/00216208:11320/20:10424493 - isvavai.cz</a>
Result on the web
<a href="https://www.aclweb.org/anthology/2020.wmt-1.28.pdf" target="_blank" >https://www.aclweb.org/anthology/2020.wmt-1.28.pdf</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training
Original language description
We describe our two NMT systems submitted to the WMT 2020 shared task in English-Czech and English-Polish news translation. One system is sentence level, translating each sentence independently. The second system is document level, translating multiple sentences, trained on multi-sentence sequences up to 3000 characters long.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
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
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Fifth Conference on Machine Translation - Proceedings of the Conference
ISBN
978-1-948087-81-0
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
269-273
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Online
Event date
Nov 19, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—