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Marine Carpuat
Marine Carpuat
Associate Professor, Computer Science, University of Maryland
Zweryfikowany adres z umd.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
Bloom: A 176b-parameter open-access multilingual language model
T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
12732023
Improving statistical machine translation using word sense disambiguation
M Carpuat, D Wu
Proceedings of the 2007 joint conference on empirical methods in natural …, 2007
4702007
Word sense disambiguation vs. statistical machine translation
M Carpuat, D Wu
Proceedings of the 43rd Annual Meeting of the Association for Computational …, 2005
1812005
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
1322019
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
1322010
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
1142018
Multi-task neural models for translating between styles within and across languages
X Niu, S Rao, M Carpuat
arXiv preprint arXiv:1806.04357, 2018
862018
One translation per discourse
M Carpuat
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and …, 2009
852009
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
852007
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
772017
SemEval-2016 Task~ 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)
N Schneider, D Hovy, A Johannsen, M Carpuat
10th International Workshop on Semantic Evaluation, 546-559, 2016
692016
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
662003
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
652013
The trouble with SMT consistency
M Carpuat, M Simard
Proceedings of the Seventh Workshop on Statistical Machine Translation, 442-449, 2012
642012
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
622014
Bi-directional neural machine translation with synthetic parallel data
X Niu, M Denkowski, M Carpuat
arXiv preprint arXiv:1805.11213, 2018
602018
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
592014
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
592002
Controlling text complexity in neural machine translation
S Agrawal, M Carpuat
arXiv preprint arXiv:1911.00835, 2019
582019
Fluency over adequacy: A pilot study in measuring user trust in imperfect MT
MJ Martindale, M Carpuat
arXiv preprint arXiv:1802.06041, 2018
492018
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