High quality machine translation using a machine-learned sentence realization component
Martine Smets, Michael Gamon, Jessie Pinkham, Tom Reutter, Martine Pettenaro
Abstract
We describe the implementation of two new language pairs (English-French and English-German) which use machine-learned sentence realization components instead of hand-written generation components. The resulting systems are evaluated by human evaluators, and in the technical domain, are equal to the quality of highly respected commercial systems. We comment on the difficulties that are encountered when using machine-learned sentence realization in the context of MT.- Anthology ID:
- 2003.mtsummit-papers.48
- Volume:
- Proceedings of Machine Translation Summit IX: Papers
- Month:
- September 23-27
- Year:
- 2003
- Address:
- New Orleans, USA
- Venue:
- MTSummit
- SIG:
- Publisher:
- Note:
- Pages:
- Language:
- URL:
- https://aclanthology.org/2003.mtsummit-papers.48
- DOI:
- Cite (ACL):
- Martine Smets, Michael Gamon, Jessie Pinkham, Tom Reutter, and Martine Pettenaro. 2003. High quality machine translation using a machine-learned sentence realization component. In Proceedings of Machine Translation Summit IX: Papers, New Orleans, USA.
- Cite (Informal):
- High quality machine translation using a machine-learned sentence realization component (Smets et al., MTSummit 2003)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2003.mtsummit-papers.48.pdf