Character: Translation edit rate on character level W Wang, JT Peter, H Rosendahl, H Ney Proceedings of the First Conference on Machine Translation: Volume 2, Shared …, 2016 | 144 | 2016 |
Neural hidden Markov model for machine translation W Wang, D Zhu, T Alkhouli, Z Gan, H Ney Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 33 | 2018 |
Towards a better understanding of label smoothing in neural machine translation Y Gao, W Wang, C Herold, Z Yang, H Ney Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020 | 31 | 2020 |
EED: Extended edit distance measure for machine translation P Stanchev, W Wang, H Ney Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019 | 28 | 2019 |
Hybrid neural network alignment and lexicon model in direct hmm for statistical machine translation W Wang, T Alkhouli, D Zhu, H Ney Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 28 | 2017 |
Analysis of positional encodings for neural machine translation J Rosendahl, VAK Tran, W Wang, H Ney Proceedings of the 16th International Conference on Spoken Language Translation, 2019 | 19 | 2019 |
Predicting and using target length in neural machine translation Z Yang, Y Gao, W Wang, H Ney Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020 | 10 | 2020 |
Exponentially decaying bag-of-words input features for feed-forward neural network in statistical machine translation JT Peter, W Wang, H Ney Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 6 | 2016 |
The RWTH Aachen University machine translation systems for WMT 2019 J Rosendahl, C Herold, Y Kim, M Graça, W Wang, P Bahar, Y Gao, H Ney Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019 | 5 | 2019 |
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer E Tokarchuk, J Rosendahl, W Wang, P Petrushkov, T Lancewicki, ... arXiv preprint arXiv:2109.12950, 2021 | 4 | 2021 |
Exploring kernel functions in the softmax layer for contextual word classification Y Gao, C Herold, W Wang, H Ney arXiv preprint arXiv:1910.12554, 2019 | 4 | 2019 |
Towards reinforcement learning for pivot-based neural machine translation with non-autoregressive transformer E Tokarchuk, J Rosendahl, W Wang, P Petrushkov, T Lancewicki, ... arXiv preprint arXiv:2109.13097, 2021 | 3 | 2021 |
Towards a Better Evaluation of Metrics for Machine Translation P Stanchev, W Wang, H Ney Proceedings of the Fifth Conference on Machine Translation, 928-933, 2020 | 3 | 2020 |
Investigation on data adaptation techniques for neural named entity recognition E Tokarchuk, D Thulke, W Wang, C Dugast, H Ney arXiv preprint arXiv:2110.05892, 2021 | 2 | 2021 |
Transformer-based direct hidden markov model for machine translation W Wang, Z Yang, Y Gao, H Ney Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 2 | 2021 |
Development of hybrid ASR systems for low resource medical domain conversational telephone speech C Lüscher, M Zeineldeen, Z Yang, T Raissi, P Vieting, K Le-Duc, W Wang, ... arXiv preprint arXiv:2210.13397, 2022 | 1 | 2022 |
Neural Language Modeling for Named Entity Recognition Z Lei, W Wang, C Dugast, H Ney Proceedings of the 28th International Conference on Computational …, 2020 | 1 | 2020 |
Investigation of Large-Margin Softmax in Neural Language Modeling J Huo, Y Gao, W Wang, R Schlüter, H Ney arXiv preprint arXiv:2005.10089, 2020 | 1 | 2020 |
uniblock: Scoring and Filtering Corpus with Unicode Block Information Y Gao, W Wang, H Ney arXiv preprint arXiv:1908.09716, 2019 | 1 | 2019 |
Data Processing Techniques for the TAC-KBP 2019 EDL Task. Q Feng, W Wang, E Tokarchuk, C Dugast, H Ney TAC, 2019 | | 2019 |