Real time adaptive machine translation: cdec and TransCenter

Michael Denkowski, Alon Lavie, Isabel Lacruz, Chris Dyer


Abstract
cdec Realtime and TransCenter provide an end-to-end experimental setup for machine translation post-editing research. Realtime provides a framework for building adaptive MT systems that learn from post-editor feedback while TransCenter incorporates a web-based translation interface that connects users to these systems and logs post-editing activity. This combination allows the straightforward deployment of MT systems specifically for post-editing and analysis of translator productivity when working with adaptive systems. Both toolkits are freely available under open source licenses.
Anthology ID:
2014.amta-wptp.14
Volume:
Proceedings of the 11th Conference of the Association for Machine Translation in the Americas
Month:
October 22-26
Year:
2014
Address:
Vancouver, Canada
Editors:
Sharon O'Brien, Michel Simard, Lucia Specia
Venue:
AMTA
SIG:
Publisher:
Association for Machine Translation in the Americas
Note:
Pages:
123
Language:
URL:
https://aclanthology.org/2014.amta-wptp.14
DOI:
Bibkey:
Cite (ACL):
Michael Denkowski, Alon Lavie, Isabel Lacruz, and Chris Dyer. 2014. Real time adaptive machine translation: cdec and TransCenter. In Proceedings of the 11th Conference of the Association for Machine Translation in the Americas, page 123, Vancouver, Canada. Association for Machine Translation in the Americas.
Cite (Informal):
Real time adaptive machine translation: cdec and TransCenter (Denkowski et al., AMTA 2014)
Copy Citation:
PDF:
https://aclanthology.org/2014.amta-wptp.14.pdf