Search Results for author: Umut Sulubacak

Found 13 papers, 0 papers with code

The University of Helsinki Submission to the IWSLT2020 Offline SpeechTranslation Task

no code implementations WS 2020 Ra{\'u}l V{\'a}zquez, Mikko Aulamo, Umut Sulubacak, J{\"o}rg Tiedemann

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.

Transfer Learning

Multimodal Machine Translation through Visuals and Speech

no code implementations28 Nov 2019 Umut Sulubacak, Ozan Caglayan, Stig-Arne Grönroos, Aku Rouhe, Desmond Elliott, Lucia Specia, Jörg Tiedemann

Multimodal machine translation involves drawing information from more than one modality, based on the assumption that the additional modalities will contain useful alternative views of the input data.

Image Captioning Multimodal Machine Translation +2

The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task

no code implementations WS 2019 Ra{\'u}l V{\'a}zquez, Umut Sulubacak, J{\"o}rg Tiedemann

This paper describes the University of Helsinki Language Technology group{'}s participation in the WMT 2019 parallel corpus filtering task.

General Classification

The University of Helsinki submissions to the WMT19 news translation task

no code implementations WS 2019 Aarne Talman, Umut Sulubacak, Raúl Vázquez, Yves Scherrer, Sami Virpioja, Alessandro Raganato, Arvi Hurskainen, Jörg Tiedemann

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.

Document-level

Universal Dependencies for Turkish

no code implementations COLING 2016 Umut Sulubacak, Memduh Gokirmak, Francis Tyers, {\c{C}}a{\u{g}}r{\i} {\c{C}}{\"o}ltekin, Joakim Nivre, G{\"u}l{\c{s}}en Eryi{\u{g}}it

The Universal Dependencies (UD) project was conceived after the substantial recent interest in unifying annotation schemes across languages.

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