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
- Editors:
- Josef van Genabith, Toni Badia, Christian Federmann, Maite Melero, Marta R. Costa-jussà, Tsuyoshi Okita
- Venue:
- WS
- SIG:
- Publisher:
- The COLING 2012 Organizing Committee
- Note:
- Pages:
- 85–90
- Language:
- URL:
- https://aclanthology.org/W12-5709
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/bionlp-24-ingestion/W12-5709.pdf