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Jan Niehues
Jan Niehues
Institute for Anthropomatics and Robotics (IAR), Karlsruhe Institute for Technology (KIT)
Verified email at kit.edu - Homepage
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Cited by
Year
Report on the 11th IWSLT evaluation campaign
M Cettolo, J Niehues, S Stüker, L Bentivogli, M Federico
Proceedings of the 11th International Workshop on Spoken Language …, 2014
3512014
Toward multilingual neural machine translation with universal encoder and decoder
TL Ha, J Niehues, A Waibel
arXiv preprint arXiv:1611.04798, 2016
2862016
The IWSLT 2016 evaluation campaign
M Cettolo, J Niehues, S Stüker, L Bentivogli, R Cattoni, M Federico
Proceedings of the 13th International Conference on Spoken Language Translation, 2016
2532016
Very deep self-attention networks for end-to-end speech recognition
NQ Pham, TS Nguyen, J Niehues, M Müller, S Stüker, A Waibel
arXiv preprint arXiv:1904.13377, 2019
1822019
Self-attentional acoustic models
M Sperber, J Niehues, G Neubig, S Stüker, A Waibel
arXiv preprint arXiv:1803.09519, 2018
1742018
Overview of the iwslt 2017 evaluation campaign
M Cettolo, M Federico, L Bentivogli, N Jan, S Sebastian, S Katsuitho, ...
Proceedings of the 14th International Workshop on Spoken Language …, 2017
1552017
Findings of the IWSLT 2020 evaluation campaign
E Ansari, A Axelrod, N Bach, O Bojar, R Cattoni, F Dalvi, N Durrani, ...
Proceedings of the 17th International Conference on Spoken Language …, 2020
1212020
Exploiting linguistic resources for neural machine translation using multi-task learning
J Niehues, E Cho
arXiv preprint arXiv:1708.00993, 2017
1182017
Improving sequence-to-sequence speech recognition training with on-the-fly data augmentation
TS Nguyen, S Stueker, J Niehues, A Waibel
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
1082020
Attention-passing models for robust and data-efficient end-to-end speech translation
M Sperber, G Neubig, J Niehues, A Waibel
Transactions of the Association for Computational Linguistics 7, 313-325, 2019
1042019
Report on the 10th IWSLT evaluation campaign
M Cettolo, J Niehues, S Stüker, L Bentivogli, M Federico
Proceedings of the 10th International Workshop on Spoken Language …, 2013
1002013
The IWSLT 2019 evaluation campaign
N Jan, R Cattoni, S Sebastian, M Negri, M Turchi, S Elizabeth, S Ramon, ...
Proceedings of the 16th International Workshop on Spoken Language …, 2019
982019
Neural lattice-to-sequence models for uncertain inputs
M Sperber, G Neubig, J Niehues, A Waibel
arXiv preprint arXiv:1704.00559, 2017
862017
A POS-based model for long-range reorderings in SMT
J Niehues, M Kolss
Proceedings of the Fourth Workshop on Statistical Machine Translation, 206-214, 2009
832009
Pre-translation for neural machine translation
J Niehues, E Cho, TL Ha, A Waibel
arXiv preprint arXiv:1610.05243, 2016
812016
Wider context by using bilingual language models in machine translation
J Niehues, T Herrmann, S Vogel, A Waibel
Proceedings of the Sixth Workshop on Statistical Machine Translation, 198-206, 2011
812011
Toward robust neural machine translation for noisy input sequences
M Sperber, J Niehues, A Waibel
Proceedings of the 14th International Conference on Spoken Language …, 2017
772017
Findings of the IWSLT 2022 Evaluation Campaign.
A Antonios, B Loc, L Bentivogli, MZ Boito, B Ondřej, R Cattoni, C Anna, ...
Proceedings of the 19th International Conference on Spoken Language …, 2022
742022
Segmentation and punctuation prediction in speech language translation using a monolingual translation system
E Cho, J Niehues, A Waibel
Proceedings of the 9th International Workshop on Spoken Language Translation …, 2012
682012
Low-latency neural speech translation
J Niehues, NQ Pham, TL Ha, M Sperber, A Waibel
arXiv preprint arXiv:1808.00491, 2018
652018
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