@inproceedings{molchanov-2020-promt,
title = "{PROMT} Systems for {WMT} 2020 Shared News Translation Task",
author = "Molchanov, Alexander",
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wmt-1.25",
pages = "248--253",
abstract = "This paper describes the PROMT submissions for the WMT 2020 Shared News Translation Task. This year we participated in four language pairs and six directions: English-Russian, Russian-English, English-German, German-English, Polish-English and Czech-English. All our submissions are MarianNMT-based neural systems. We use more data compared to last year and update our back-translations with better models from the previous year. We show competitive results in terms of BLEU in most directions.",
}
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<abstract>This paper describes the PROMT submissions for the WMT 2020 Shared News Translation Task. This year we participated in four language pairs and six directions: English-Russian, Russian-English, English-German, German-English, Polish-English and Czech-English. All our submissions are MarianNMT-based neural systems. We use more data compared to last year and update our back-translations with better models from the previous year. We show competitive results in terms of BLEU in most directions.</abstract>
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%0 Conference Proceedings
%T PROMT Systems for WMT 2020 Shared News Translation Task
%A Molchanov, Alexander
%S Proceedings of the Fifth Conference on Machine Translation
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F molchanov-2020-promt
%X This paper describes the PROMT submissions for the WMT 2020 Shared News Translation Task. This year we participated in four language pairs and six directions: English-Russian, Russian-English, English-German, German-English, Polish-English and Czech-English. All our submissions are MarianNMT-based neural systems. We use more data compared to last year and update our back-translations with better models from the previous year. We show competitive results in terms of BLEU in most directions.
%U https://aclanthology.org/2020.wmt-1.25
%P 248-253
Markdown (Informal)
[PROMT Systems for WMT 2020 Shared News Translation Task](https://aclanthology.org/2020.wmt-1.25) (Molchanov, WMT 2020)
ACL