1. The University of Helsinki submissions to the WMT19 news translation task
- Author
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Talman, Aarne, Sulubacak, Umut, Vázquez, Raúl, Scherrer, Yves, Virpioja, Sami, Raganato, Alessandro, Hurskainen, Arvi, and Tiedemann, Jörg
- Subjects
Computer Science - Computation and Language - Abstract
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., Comment: To appear in WMT19
- Published
- 2019