The TALP-UPC Machine Translation Systems for WMT18 News Shared Translation Task

Noe Casas, Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa

Abstract
In this article we describe the TALP-UPC research group participation in the WMT18 news shared translation task for Finnish-English and Estonian-English within the multi-lingual subtrack. All of our primary submissions implement an attention-based Neural Machine Translation architecture. Given that Finnish and Estonian belong to the same language family and are similar, we use as training data the combination of the datasets of both language pairs to paliate the data scarceness of each individual pair. We also report the translation quality of systems trained on individual language pair data to serve as baseline and comparison reference.
Anthology ID:
W18-6406
Volume:
Proceedings of the Third Conference on Machine Translation: Shared Task Papers
Month:
October
Year:
2018
Address:
Belgium, Brussels
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
355–360
Language:
URL:
https://aclanthology.org/W18-6406
DOI:
10.18653/v1/W18-6406
Bibkey:
Cite (ACL):
Noe Casas, Carlos Escolano, Marta R. Costa-jussà, and José A. R. Fonollosa. 2018. The TALP-UPC Machine Translation Systems for WMT18 News Shared Translation Task. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 355–360, Belgium, Brussels. Association for Computational Linguistics.
Cite (Informal):
The TALP-UPC Machine Translation Systems for WMT18 News Shared Translation Task (Casas et al., WMT 2018)
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https://preview.aclanthology.org/remove-xml-comments/W18-6406.pdf
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