| Learning phrase representations using RNN encoder-decoder for statistical machine translation K Cho, B Van Merriënboer, C Gulcehre, D Bahdanau, F Bougares, ... arXiv preprint arXiv:1406.1078, 2014 | 13414 | 2014 |
| A neural probabilistic language model Y Bengio, R Ducharme, P Vincent, C Janvin The journal of machine learning research 3, 1137-1155, 2003 | 7296 | 2003 |
| Supervised learning of universal sentence representations from natural language inference data A Conneau, D Kiela, H Schwenk, L Barrault, A Bordes arXiv preprint arXiv:1705.02364, 2017 | 1308 | 2017 |
| Very deep convolutional networks for text classification A Conneau, H Schwenk, L Barrault, Y Lecun arXiv preprint arXiv:1606.01781, 2016 | 691 | 2016 |
| Continuous space language models H Schwenk Computer Speech & Language 21 (3), 492-518, 2007 | 585 | 2007 |
| On using monolingual corpora in neural machine translation C Gulcehre, O Firat, K Xu, K Cho, L Barrault, HC Lin, F Bougares, ... arXiv preprint arXiv:1503.03535, 2015 | 339 | 2015 |
| Boosting neural networks H Schwenk, Y Bengio Neural computation 12 (8), 1869-1887, 2000 | 338 | 2000 |
| XNLI: Evaluating cross-lingual sentence representations A Conneau, G Lample, R Rinott, A Williams, SR Bowman, H Schwenk, ... arXiv preprint arXiv:1809.05053, 2018 | 321 | 2018 |
| Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond M Artetxe, H Schwenk Transactions of the Association for Computational Linguistics 7, 597-610, 2019 | 290 | 2019 |
| Very deep convolutional networks for natural language processing A Conneau, H Schwenk, L Barrault, Y Lecun arXiv preprint arXiv:1606.01781 2, 1, 2016 | 288 | 2016 |
| Language recognition using phone latices JL Gauvain, A Messaoudi, H Schwenk Eighth International Conference on Spoken Language Processing, 2004 | 183 | 2004 |
| Connectionist language modeling for large vocabulary continuous speech recognition H Schwenk, JL Gauvain 2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002 | 168 | 2002 |
| Training neural network language models on very large corpora H Schwenk, JL Gauvain Proceedings of Human Language Technology Conference and Conference on …, 2005 | 156 | 2005 |
| Continuous space translation models for phrase-based statistical machine translation H Schwenk Proceedings of COLING 2012: Posters, 1071-1080, 2012 | 138 | 2012 |
| On the use of comparable corpora to improve SMT performance SA Rauf, H Schwenk Proceedings of the 12th Conference of the European Chapter of the ACL (EACL …, 2009 | 129 | 2009 |
| Large, pruned or continuous space language models on a gpu for statistical machine translation H Schwenk, A Rousseau, M Attik Proceedings of the NAACL-HLT 2012 Workshop: Will We Ever Really Replace the …, 2012 | 123 | 2012 |
| Continuous space language models for statistical machine translation H Schwenk, D Déchelotte, JL Gauvain Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, 723-730, 2006 | 113 | 2006 |
| Where are we in transcribing French broadcast news? JL Gauvain, G Adda, M Adda-Decker, A Allauzen, V Gendner, L Lamel, ... Ninth European conference on speech communication and technology, 2005 | 100 | 2005 |
| Investigations on large-scale lightly-supervised training for statistical machine translation H Schwenk International Workshop on Spoken Language Translation (IWSLT) 2008, 2008 | 96 | 2008 |
| Learning joint multilingual sentence representations with neural machine translation H Schwenk, M Douze arXiv preprint arXiv:1704.04154, 2017 | 90 | 2017 |
