Abstract
This paper presents a decoder for statistical machine translation that can take advantage of the example-based machine translation framework. The decoder presented here is based on the greedy approach to the decoding problem, but the search is initiated from a similar translation extracted from a bilingual corpus. The experiments on multilingual translations showed that the proposed method was far superior to a word-by-word generation beam search algorithm.- Anthology ID:
- 2003.mtsummit-papers.54
- 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.54
- DOI:
- Cite (ACL):
- Taro Watanabe and Eiichiro Sumita. 2003. Example-based decoding for statistical machine translation. In Proceedings of Machine Translation Summit IX: Papers, New Orleans, USA.
- Cite (Informal):
- Example-based decoding for statistical machine translation (Watanabe & Sumita, MTSummit 2003)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/2003.mtsummit-papers.54.pdf