The University of Helsinki Submissions to the WMT19 Similar Language Translation Task
This paper describes the University of Helsinki Language Technology group{'}s participation in the WMT 2019 similar language translation task. We trained neural machine translation models for the language pairs Czech {\textless}-{\textgreater} Polish and Spanish {\textless}-{\textgreater} Portuguese. Our experiments focused on different subword segmentation methods, and in particular on the comparison of a cognate-aware segmentation method, Cognate Morfessor, with character segmentation and unsupervised segmentation methods for which the data from different languages were simply concatenated. We did not observe major benefits from cognate-aware segmentation methods, but further research may be needed to explore larger parts of the parameter space. Character-level models proved to be competitive for translation between Spanish and Portuguese, but they are slower in training and decoding.
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationSegmentationTranslationSimilar Papers 제목 키워드 기반
The University of Helsinki submissions to the WMT18 news task
This paper describes the University of Helsinki{'}s submissions to the WMT18 shared news translation task for English-Finnish and English-Estonian, in both directions. This year, our main submissions employ a novel neura…
Machine TranslationTranslationThe University of Helsinki submissions to the WMT19 news translation task
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 o…
SentenceTranslationThe University of Helsinki submissions to the IWSLT 2018 low-resource translation task
This paper presents the University of Helsinki submissions to the Basque–English low-resource translation task. Our primary system is a standard bilingual Transformer system, trained on the available parallel data and va…
TranslationThe University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks
This paper describes the joint participation of University of Helsinki and Aalto University to two shared tasks of WMT 2020: the news translation between Inuktitut and English and the low-resource translation between Ger…
Multi-Task LearningTranslationThe University of Helsinki Submission to the IWSLT2020 Offline SpeechTranslation Task
This paper describes the University of Helsinki Language Technology group{'}s participation in the IWSLT 2020 offline speech translation task, addressing the translation of English audio into German text. In line with th…
Transfer LearningTranslation