Phrase-based language modelling for statistical machine translation
Achraf Ben Romdhane, Salma Jamoussi, Abdelmajid Ben Hamadou, Kamel Smaïli
Abstract
In this paper, we present our submitted MT system for the IWSLT2014 Evaluation Campaign. We participated in the English-French translation task. In this article we focus on one of the most important component of SMT: the language model. The idea is to use a phrase-based language model. For that, sequences from the source and the target language models are retrieved and used to calculate a phrase n-gram language model. These phrases are used to rewrite the parallel corpus which is then used to calculate a new translation model.- Anthology ID:
- 2014.iwslt-evaluation.13
- Volume:
- Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign
- Month:
- December 4-5
- Year:
- 2014
- Address:
- Lake Tahoe, California
- Editors:
- Marcello Federico, Sebastian Stüker, François Yvon
- Venue:
- IWSLT
- SIG:
- SIGSLT
- Publisher:
- Note:
- Pages:
- 96–99
- Language:
- URL:
- https://aclanthology.org/2014.iwslt-evaluation.13
- DOI:
- Cite (ACL):
- Achraf Ben Romdhane, Salma Jamoussi, Abdelmajid Ben Hamadou, and Kamel Smaïli. 2014. Phrase-based language modelling for statistical machine translation. In Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 96–99, Lake Tahoe, California.
- Cite (Informal):
- Phrase-based language modelling for statistical machine translation (Romdhane et al., IWSLT 2014)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2014.iwslt-evaluation.13.pdf