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
- Venue:
- AMTA
- SIG:
- Publisher:
- Association for Machine Translation in the Americas
- Note:
- Pages:
- 123
- Language:
- URL:
- https://aclanthology.org/2014.amta-wptp.14
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2014.amta-wptp.14.pdf