| 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 | 306 | 2014 |
| Toward multilingual neural machine translation with universal encoder and decoder TL Ha, J Niehues, A Waibel arXiv preprint arXiv:1611.04798, 2016 | 253 | 2016 |
| 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 | 227 | 2016 |
| 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 | 154 | 2019 |
| Self-attentional acoustic models M Sperber, J Niehues, G Neubig, S Stüker, A Waibel arXiv preprint arXiv:1803.09519, 2018 | 143 | 2018 |
| 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 | 119 | 2017 |
| Exploiting linguistic resources for neural machine translation using multi-task learning J Niehues, E Cho arXiv preprint arXiv:1708.00993, 2017 | 106 | 2017 |
| 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 | 100 | 2020 |
| 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 | 94 | 2013 |
| 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 | 91 | 2020 |
| 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 | 90 | 2019 |
| Determination of the strong coupling constant α _ s (m_ Z) α s (m Z) in next-to-next-to-leading order QCD using H1 jet cross section measurements: H1 Collaboration V Andreev, A Baghdasaryan, K Begzsuren, A Belousov, V Bertone, A Bolz, ... The European Physical Journal C 77, 1-21, 2017 | 89 | 2017 |
| 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 | 85 | 2019 |
| 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 | 81 | 2009 |
| 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 | 80 | 2011 |
| Neural lattice-to-sequence models for uncertain inputs M Sperber, G Neubig, J Niehues, A Waibel arXiv preprint arXiv:1704.00559, 2017 | 75 | 2017 |
| Pre-translation for neural machine translation J Niehues, E Cho, TL Ha, A Waibel arXiv preprint arXiv:1610.05243, 2016 | 74 | 2016 |
| 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 | 65 | 2012 |
| 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 | 64 | 2017 |
| Discriminative word alignment via alignment matrix modeling J Niehues, S Vogel Proceedings of the Third Workshop on Statistical Machine Translation, 18-25, 2008 | 64 | 2008 |
Eunah ChoAmazon, Alexa AIVerified email at amazon.com
