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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
Title
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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
3032014
Toward multilingual neural machine translation with universal encoder and decoder
TL Ha, J Niehues, A Waibel
arXiv preprint arXiv:1611.04798, 2016
2462016
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
2222016
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
1452019
Self-attentional acoustic models
M Sperber, J Niehues, G Neubig, S Stüker, A Waibel
arXiv preprint arXiv:1803.09519, 2018
1342018
Overview of the iwslt 2017 evaluation campaign
M Cettolo, M Federico, L Bentivogli, J Niehues, S Stüker, K Sudoh, ...
Proceedings of the 14th International Workshop on Spoken Language …, 2017
1172017
Exploiting linguistic resources for neural machine translation using multi-task learning
J Niehues, E Cho
arXiv preprint arXiv:1708.00993, 2017
1042017
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
972020
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
922013
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
892019
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
862020
The IWSLT 2019 evaluation campaign
J Niehues, R Cattoni, S Stuker, M Negri, M Turchi, E Salesky, R Sanabria, ...
Proceedings of the 16th International Workshop on Spoken Language …, 2019
862019
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
812009
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
782011
Neural lattice-to-sequence models for uncertain inputs
M Sperber, G Neubig, J Niehues, A Waibel
arXiv preprint arXiv:1704.00559, 2017
732017
Pre-translation for neural machine translation
J Niehues, E Cho, TL Ha, A Waibel
arXiv preprint arXiv:1610.05243, 2016
702016
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
652012
Discriminative word alignment via alignment matrix modeling
J Niehues, S Vogel
Proceedings of the Third Workshop on Statistical Machine Translation, 18-25, 2008
652008
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
622017
Low-latency neural speech translation
J Niehues, NQ Pham, TL Ha, M Sperber, A Waibel
arXiv preprint arXiv:1808.00491, 2018
582018
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