CUNI Systems for the Unsupervised News Translation Task in WMT 2019
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405575" target="_blank" >RIV/00216208:11320/19:10405575 - isvavai.cz</a>
Result on the web
<a href="http://www.statmt.org/wmt19/pdf/53/WMT23.pdf" target="_blank" >http://www.statmt.org/wmt19/pdf/53/WMT23.pdf</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
CUNI Systems for the Unsupervised News Translation Task in WMT 2019
Original language description
In this paper we describe the CUNI translation system used for the unsupervised news shared task of the ACL 2019 Fourth Conference on Machine Translation (WMT19). We follow the strategy of Artetxe ae at. (2018b), creating a seed phrase-based system where the phrase table is initialized from cross-lingual embedding mappings trained on monolingual data, followed by a neural machine translation system trained on synthetic parallel data. The synthetic corpus was produced from a monolingual corpus by a tuned PBMT model refined through iterative back-translation. We further focus on the handling of named entities, i.e. the part of vocabulary where the cross-lingual embedding mapping suffers most. Our system reaches a BLEU score of 15.3 on the German-Czech WMT19 shared task.
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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Fourth Conference on Machine Translation - Proceedings of the Conference
ISBN
978-1-950737-27-7
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
241-248
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Firenze, Italy
Event date
Aug 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—