NTT-NAIST syntax-based SMT systems for IWSLT 2014
Katsuhito Sudoh, Graham Neubig, Kevin Duh, Katsuhiko Hayashi
Abstract
This paper presents NTT-NAIST SMT systems for English-German and German-English MT tasks of the IWSLT 2014 evaluation campaign. The systems are based on generalized minimum Bayes risk system combination of three SMT systems using the forest-to-string, syntactic preordering, and phrase-based translation formalisms. Individual systems employ training data selection for domain adaptation, truecasing, compound word splitting (for GermanEnglish), interpolated n-gram language models, and hypotheses rescoring using recurrent neural network language models.- Anthology ID:
- 2014.iwslt-evaluation.18
- Volume:
- Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign
- Month:
- December 4-5
- Year:
- 2014
- Address:
- Lake Tahoe, California
- Venue:
- IWSLT
- SIG:
- SIGSLT
- Publisher:
- Note:
- Pages:
- 127–133
- Language:
- URL:
- https://aclanthology.org/2014.iwslt-evaluation.18
- DOI:
- Cite (ACL):
- Katsuhito Sudoh, Graham Neubig, Kevin Duh, and Katsuhiko Hayashi. 2014. NTT-NAIST syntax-based SMT systems for IWSLT 2014. In Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 127–133, Lake Tahoe, California.
- Cite (Informal):
- NTT-NAIST syntax-based SMT systems for IWSLT 2014 (Sudoh et al., IWSLT 2014)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2014.iwslt-evaluation.18.pdf