@inproceedings{casas-etal-2018-talp,
title = "The {TALP}-{UPC} Machine Translation Systems for {WMT}18 News Shared Translation Task",
author = "Casas, Noe and
Escolano, Carlos and
Costa-juss{\`a}, Marta R. and
Fonollosa, Jos{\'e} A. R.",
booktitle = "Proceedings of the Third Conference on Machine Translation: Shared Task Papers",
month = oct,
year = "2018",
address = "Belgium, Brussels",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6406",
doi = "10.18653/v1/W18-6406",
pages = "355--360",
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.",
}
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%0 Conference Proceedings
%T The TALP-UPC Machine Translation Systems for WMT18 News Shared Translation Task
%A Casas, Noe
%A Escolano, Carlos
%A Costa-jussà, Marta R.
%A Fonollosa, José A. R.
%S Proceedings of the Third Conference on Machine Translation: Shared Task Papers
%D 2018
%8 oct
%I Association for Computational Linguistics
%C Belgium, Brussels
%F casas-etal-2018-talp
%X 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.
%R 10.18653/v1/W18-6406
%U https://aclanthology.org/W18-6406
%U https://doi.org/10.18653/v1/W18-6406
%P 355-360
Markdown (Informal)
[The TALP-UPC Machine Translation Systems for WMT18 News Shared Translation Task](https://aclanthology.org/W18-6406) (Casas et al., 2018)
ACL