Abstract
We discuss learning latent annotations for synchronous context-free grammars (SCFG) for the purpose of improving machine translation. We show that learning annotations for nonterminals results in not only more accurate translation, but also faster SCFG decoding.- Anthology ID:
- 2011.iwslt-evaluation.20
- Volume:
- Proceedings of the 8th International Workshop on Spoken Language Translation: Evaluation Campaign
- Month:
- December 8-9
- Year:
- 2011
- Address:
- San Francisco, California
- Venue:
- IWSLT
- SIG:
- SIGSLT
- Publisher:
- Note:
- Pages:
- 151–158
- Language:
- URL:
- https://aclanthology.org/2011.iwslt-evaluation.20
- DOI:
- Cite (ACL):
- Tagyoung Chung, Licheng Fang, and Daniel Gildea. 2011. SCFG latent annotation for machine translation. In Proceedings of the 8th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 151–158, San Francisco, California.
- Cite (Informal):
- SCFG latent annotation for machine translation (Chung et al., IWSLT 2011)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2011.iwslt-evaluation.20.pdf