@inproceedings{potapczyk-etal-2019-samsungs,
title = "{S}amsung{'}s System for the {IWSLT} 2019 End-to-End Speech Translation Task",
author = "Potapczyk, Tomasz and
Przybysz, Pawel and
Chochowski, Marcin and
Szumaczuk, Artur",
editor = {Niehues, Jan and
Cattoni, Rolando and
St{\"u}ker, Sebastian and
Negri, Matteo and
Turchi, Marco and
Ha, Thanh-Le and
Salesky, Elizabeth and
Sanabria, Ramon and
Barrault, Loic and
Specia, Lucia and
Federico, Marcello},
booktitle = "Proceedings of the 16th International Conference on Spoken Language Translation",
month = nov # " 2-3",
year = "2019",
address = "Hong Kong",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2019.iwslt-1.12",
abstract = "This paper describes the submission to IWSLT 2019 End- to-End speech translation task by Samsung R{\&}D Institute, Poland. We decided to focus on end-to-end English to German TED lectures translation and did not provide any submission for other speech tasks. We used a slightly altered Transformer architecture with standard convolutional layer preparing the audio input to Transformer en- coder. Additionally, we propose an audio segmentation al- gorithm maximizing BLEU score on tst2015 test set.",
}
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<abstract>This paper describes the submission to IWSLT 2019 End- to-End speech translation task by Samsung R&D Institute, Poland. We decided to focus on end-to-end English to German TED lectures translation and did not provide any submission for other speech tasks. We used a slightly altered Transformer architecture with standard convolutional layer preparing the audio input to Transformer en- coder. Additionally, we propose an audio segmentation al- gorithm maximizing BLEU score on tst2015 test set.</abstract>
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%0 Conference Proceedings
%T Samsung’s System for the IWSLT 2019 End-to-End Speech Translation Task
%A Potapczyk, Tomasz
%A Przybysz, Pawel
%A Chochowski, Marcin
%A Szumaczuk, Artur
%Y Niehues, Jan
%Y Cattoni, Rolando
%Y Stüker, Sebastian
%Y Negri, Matteo
%Y Turchi, Marco
%Y Ha, Thanh-Le
%Y Salesky, Elizabeth
%Y Sanabria, Ramon
%Y Barrault, Loic
%Y Specia, Lucia
%Y Federico, Marcello
%S Proceedings of the 16th International Conference on Spoken Language Translation
%D 2019
%8 nov 2 3
%I Association for Computational Linguistics
%C Hong Kong
%F potapczyk-etal-2019-samsungs
%X This paper describes the submission to IWSLT 2019 End- to-End speech translation task by Samsung R&D Institute, Poland. We decided to focus on end-to-end English to German TED lectures translation and did not provide any submission for other speech tasks. We used a slightly altered Transformer architecture with standard convolutional layer preparing the audio input to Transformer en- coder. Additionally, we propose an audio segmentation al- gorithm maximizing BLEU score on tst2015 test set.
%U https://aclanthology.org/2019.iwslt-1.12
Markdown (Informal)
[Samsung’s System for the IWSLT 2019 End-to-End Speech Translation Task](https://aclanthology.org/2019.iwslt-1.12) (Potapczyk et al., IWSLT 2019)
ACL