| Improving statistical machine translation using word sense disambiguation M Carpuat, D Wu Proceedings of the 2007 joint conference on empirical methods in natural …, 2007 | 461 | 2007 |
| Bloom: A 176b-parameter open-access multilingual language model TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... arXiv preprint arXiv:2211.05100, 2022 | 199 | 2022 |
| Word sense disambiguation vs. statistical machine translation M Carpuat, D Wu Proceedings of the 43rd Annual Meeting of the Association for Computational …, 2005 | 181 | 2005 |
| Task-based evaluation of multiword expressions: a pilot study in statistical machine translation M Carpuat, M Diab Human Language Technologies: The 2010 Annual Conference of the North …, 2010 | 127 | 2010 |
| Curriculum learning for domain adaptation in neural machine translation X Zhang, P Shapiro, G Kumar, P McNamee, M Carpuat, K Duh arXiv preprint arXiv:1905.05816, 2019 | 94 | 2019 |
| An empirical exploration of curriculum learning for neural machine translation X Zhang, G Kumar, H Khayrallah, K Murray, J Gwinnup, MJ Martindale, ... arXiv preprint arXiv:1811.00739, 2018 | 87 | 2018 |
| How phrase sense disambiguation outperforms word sense disambiguation for statistical machine translation M Carpuat, D Wu Proceedings of the 11th Conference on Theoretical and Methodological Issues …, 2007 | 84 | 2007 |
| One translation per discourse M Carpuat Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and …, 2009 | 78 | 2009 |
| Multi-task neural models for translating between styles within and across languages X Niu, S Rao, M Carpuat arXiv preprint arXiv:1806.04357, 2018 | 67 | 2018 |
| SemEval-2016 task 10: Detecting minimal semantic units and their meanings (DiMSUM) N Schneider, D Hovy, A Johannsen, M Carpuat Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 63 | 2016 |
| The trouble with SMT consistency M Carpuat, M Simard Proceedings of the Seventh Workshop on Statistical Machine Translation, 442-449, 2012 | 63 | 2012 |
| Measuring machine translation errors in new domains A Irvine, J Morgan, M Carpuat, H Daumé III, D Munteanu Transactions of the Association for Computational Linguistics 1, 429-440, 2013 | 62 | 2013 |
| A stacked, voted, stacked model for named entity recognition D Wu, G Ngai, M Carpuat Proceedings of the seventh conference on Natural language learning at HLT …, 2003 | 62 | 2003 |
| A study of style in machine translation: Controlling the formality of machine translation output X Niu, M Martindale, M Carpuat Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 60 | 2017 |
| Boosting for named entity recognition D Wu, G Ngai, M Carpuat, J Larsen, Y Yang COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002), 2002 | 59 | 2002 |
| The NRC system for discriminating similar languages C Goutte, S Léger, M Carpuat Proceedings of the first workshop on applying NLP tools to similar languages …, 2014 | 57 | 2014 |
| Bi-directional neural machine translation with synthetic parallel data X Niu, M Denkowski, M Carpuat arXiv preprint arXiv:1805.11213, 2018 | 52 | 2018 |
| Assessing the discourse factors that influence the quality of machine translation JJ Li, M Carpuat, A Nenkova Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 50 | 2014 |
| Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) M Peters, M Neumann, M Iyyer, M Gardner, C Clark, K Lee, L Zettlemoyer Deep Contextualized Word Representations, 2227-2237, 2018 | 49 | 2018 |
| A Kernel PCA method for superior word sense disambiguation D Wu, W Su, M Carpuat Proceedings of the 42nd Annual Meeting of the Association for Computational …, 2004 | 49 | 2004 |
