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Greg Hanneman
Greg Hanneman
Language Technologies Institute, Carnegie Mellon University
Verified email at cs.cmu.edu
Title
Cited by
Cited by
Year
Machine translation system combination with flexible word ordering
K Heafield, G Hanneman, A Lavie
Proceedings of the Fourth Workshop on Statistical Machine Translation, 56-60, 2009
312009
The CMU-avenue French-English translation system
M Denkowski, G Hanneman, A Lavie
Proceedings of the Seventh Workshop on Statistical Machine Translation, 261-266, 2012
262012
Decoding with syntactic and non-syntactic phrases in a syntax-based machine translation system
G Hanneman, A Lavie
Proceedings of the Third Workshop on Syntax and Structure in Statistical …, 2009
252009
The CMU machine translation systems at WMT 2013: Syntax, synthetic translation options, and pseudo-references
W Ammar, V Chahuneau, M Denkowski, G Hanneman, W Ling, ...
Proceedings of the Eighth Workshop on Statistical Machine Translation, 70-77, 2013
222013
The CMU machine translation systems at WMT 2013: Syntax, synthetic translation options, and pseudo-references
W Ammar, V Chahuneau, M Denkowski, G Hanneman, W Ling, ...
Proceedings of the Eighth Workshop on Statistical Machine Translation, 70-77, 2013
222013
Automatic category label coarsening for syntax-based machine translation
G Hanneman, A Lavie
Proceedings of Fifth Workshop on Syntax, Semantics and Structure in …, 2011
202011
Improving syntax-augmented machine translation by coarsening the label set
G Hanneman, A Lavie
Proceedings of the 2013 Conference of the North American Chapter of the …, 2013
172013
Statistical transfer systems for French–English and German–English machine translation
G Hanneman, E Huber, A Agarwal, V Ambati, A Parlikar, E Peterson, ...
Proceedings of the Third Workshop on Statistical Machine Translation, 163-166, 2008
152008
How Should Markup Tags Be Translated?
G Hanneman, G Dinu
Proceedings of the Fifth Conference on Machine Translation, 1160-1173, 2020
142020
An improved statistical transfer system for french–english machine translation
G Hanneman, V Ambati, JH Clark, A Parlikar, A Lavie
Proceedings of the Fourth Workshop on Statistical Machine Translation, 140-144, 2009
142009
Syntax-based statistical machine translation: A review
A Ahmed, G Hanneman
142005
The cmu machine translation systems at wmt 2014
A Matthews, W Ammar, A Bhatia, W Feely, G Hanneman, E Schlinger, ...
Proceedings of the Ninth Workshop on Statistical Machine Translation, 142-149, 2014
122014
A general-purpose rule extractor for SCFG-based machine translation
G Hanneman, M Burroughs, A Lavie
Proceedings of Fifth Workshop on Syntax, Semantics and Structure in …, 2011
102011
Improved features and grammar selection for syntax-based MT
G Hanneman, J Clark, A Lavie
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation …, 2010
72010
Leveraging data resources for cross-linguistic information retrieval using statistical machine translation
S Sloto, A Clifton, G Hanneman, P Porter, D Gates, AS Hildebrand, ...
Proceedings of the 13th Conference of the Association for Machine …, 2018
52018
CMU syntax-based machine translation at WMT 2011
G Hanneman, A Lavie
Proceedings of the Sixth Workshop on Statistical Machine Translation, 365-371, 2011
12011
A new historical analysis of/U
G Hanneman
Proceedings of SIGBOVIK: Workshop about Symposium on Robotic Dance Party of …, 2007
12007
Word Order of French Questions
G Hanneman
Grammar Formalisms (www. cs. cmu. edu, 2006
12006
Impacts of misspelled queries on translation and product search
G Hanneman, N Monaikul, T Nakatani
2024
Operational Engines
DW Oard, C Madson, J Olive, J McCary, C Christianson, K Egan, A Sears, ...
Handbook of Natural Language Processing and Machine Translation: DARPA …, 2011
2011
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