Results from the ML4HMT-12 Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation

Christian Federmann, Tsuyoshi Okita, Maite Melero, Marta R. Costa-Jussa, Toni Badia, Josef van Genabith


Anthology ID:
W12-5709
Volume:
Proceedings of the Second Workshop on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid MT
Month:
December
Year:
2012
Address:
Mumbai, India
Venue:
WS
SIG:
Publisher:
The COLING 2012 Organizing Committee
Note:
Pages:
85–90
Language:
URL:
https://aclanthology.org/W12-5709
DOI:
Bibkey:
Cite (ACL):
Christian Federmann, Tsuyoshi Okita, Maite Melero, Marta R. Costa-Jussa, Toni Badia, and Josef van Genabith. 2012. Results from the ML4HMT-12 Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation. In Proceedings of the Second Workshop on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid MT, pages 85–90, Mumbai, India. The COLING 2012 Organizing Committee.
Cite (Informal):
Results from the ML4HMT-12 Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation (Federmann et al., 2012)
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PDF:
https://aclanthology.org/W12-5709.pdf