The University of Helsinki submissions to the WMT19 news translation task

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Sammanfattning

In this paper, we present the University of Helsinki submissions to the WMT 2019 shared task on news translation in three language pairs: English-German, English-Finnish and Finnish-English. This year, we focused first on cleaning and filtering the training data using multiple data-filtering approaches, resulting in much smaller and cleaner training sets. For English-German, we trained both sentence-level transformer models and compared different document-level translation approaches. For Finnish-English and English-Finnish we focused on different segmentation approaches, and we also included a rule-based system for English-Finnish.
Originalspråkengelska
Titel på gästpublikationFourth Conference of Conference on Machine Translation (WMT 2019) : Proceedings of the Conference: Volume 2
Antal sidor12
UtgivningsortStroudsburg
FörlagThe Association for Computational Linguistics
Utgivningsdatum1 aug 2019
Sidor412-423
ISBN (elektroniskt)978-1-950737-27-7
StatusPublicerad - 1 aug 2019
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangConference on Machine Translation: WMT19 - Florence, Italien
Varaktighet: 1 aug 20192 aug 2019
Konferensnummer: 4

Vetenskapsgrenar

  • 113 Data- och informationsvetenskap
  • 6121 Språkvetenskaper

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