| A systematic comparison of various statistical alignment models FJ Och, H Ney Computational linguistics 29 (1), 19-51, 2003 | 5248 | 2003 |
| Lstm neural networks for language modeling. M Sundermeyer, R Schlüter, H Ney Interspeech 2012, 194-197, 2012 | 2865 | 2012 |
| Improved backing-off for m-gram language modeling R Kneser, H Ney 1995 international conference on acoustics, speech, and signal processing 1 …, 1995 | 2331 | 1995 |
| Discriminative training and maximum entropy models for statistical machine translation FJ Och, H Ney Proceedings of the 40th Annual meeting of the Association for Computational …, 2002 | 1502 | 2002 |
| Improved statistical alignment models FJ Och, H Ney Proceedings of the 38th annual meeting of the association for computational …, 2000 | 1423 | 2000 |
| The alignment template approach to statistical machine translation FJ Och, H Ney Computational linguistics 30 (4), 417-449, 2004 | 1255 | 2004 |
| HMM-based word alignment in statistical translation S Vogel, H Ney, C Tillmann COLING 1996 Volume 2: The 16th International Conference on Computational …, 1996 | 1197 | 1996 |
| Statistical machine translation FJ Och, H Ney 5th EAMT Workshop: Harvesting Existing Resources, 2000 | 966 | 2000 |
| Joint-sequence models for grapheme-to-phoneme conversion M Bisani, H Ney Speech communication 50 (5), 434-451, 2008 | 955 | 2008 |
| On structuring probabilistic dependences in stochastic language modelling H Ney, U Essen, R Kneser Computer Speech & Language 8 (1), 1-38, 1994 | 947 | 1994 |
| Features for image retrieval: an experimental comparison T Deselaers, D Keysers, H Ney Information retrieval 11, 77-107, 2008 | 801 | 2008 |
| Neural sign language translation NC Camgoz, S Hadfield, O Koller, H Ney, R Bowden Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 770 | 2018 |
| Confidence measures for large vocabulary continuous speech recognition F Wessel, R Schluter, K Macherey, H Ney IEEE Transactions on speech and audio processing 9 (3), 288-298, 2002 | 655 | 2002 |
| From feedforward to recurrent LSTM neural networks for language modeling M Sundermeyer, H Ney, R Schlüter IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (3), 517-529, 2015 | 650 | 2015 |
| The use of a one-stage dynamic programming algorithm for connected word recognition H Ney IEEE Transactions on Acoustics, Speech, and Signal Processing 32 (2), 263-271, 1984 | 562 | 1984 |
| Morpho-syntactic information for automatic error analysis of statistical machine translation output M Popović, A de Gispert, D Gupta, P Lambert, H Ney, JB Mariño, ... Proceedings on the Workshop on Statistical Machine Translation, 1-6, 2006 | 556 | 2006 |
| Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers O Koller, J Forster, H Ney Computer Vision and Image Understanding 141, 108-125, 2015 | 544 | 2015 |
| Linear discriminant analysis for improved large vocabulary continuous speech recognition. R Haeb-Umbach, H Ney icassp 92, 13-16, 1992 | 529 | 1992 |
| Phrase-based statistical machine translation R Zens, FJ Och, H Ney KI 2002: Advances in Artificial Intelligence: 25th Annual German Conference …, 2002 | 526 | 2002 |
| An Evaluation Tool for Machine Translation: Fast Evaluation for MT Research. S Nießen, FJ Och, G Leusch, H Ney LREC, 2000 | 421 | 2000 |
Ralf SchlüterMachine Learning and Human Language Technology, Lehrstuhl Informatik 6, RWTH Aachen Universitycs.rwth-aachen.de의 이메일 확인됨