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Found 15 papers, 0 papers with code
MT for subtitling: User evaluation of post-editing productivity
This paper presents a user evaluation of machine translation and post-editing for TV subtitles.
The 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.
OpusTools and Parallel Corpus Diagnostics
We show the use of these tools in parallel corpus creation and data diagnostics.
Multimodal Machine Translation through Visuals and Speech
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.
Ranked #4 on
Multimodal Machine Translation
on Multi30K
The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task
This paper describes the University of Helsinki Language Technology group{'}s participation in the WMT 2019 parallel corpus filtering task.
Normalizing Non-canonical Turkish Texts Using Machine Translation Approaches
With the growth of the social web, user-generated text data has reached unprecedented sizes.
The 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.
The MeMAD Submission to the IWSLT 2018 Speech Translation Task
In this paper, we also describe the experiments leading up to our final systems.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
The MeMAD Submission to the WMT18 Multimodal Translation Task
Our experiments show that the effect of the visual features in our system is small.
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets.
Universal Dependencies for Turkish
The Universal Dependencies (UD) project was conceived after the substantial recent interest in unifying annotation schemes across languages.
