Abstract
This paper describes the system developed by the LIUM laboratory for the 2008 IWSLT evaluation. We only participated in the Arabic/English BTEC task. We developed a statistical phrase-based system using the Moses toolkit and SYSTRAN’s rule-based translation system to perform a morphological decomposition of the Arabic words. A continuous space language model was deployed to improve the modeling of the target language. Both approaches achieved significant improvements in the BLEU score. The system achieves a score of 49.4 on the test set of the 2008 IWSLT evaluation.- Anthology ID:
- 2008.iwslt-evaluation.9
- Volume:
- Proceedings of the 5th International Workshop on Spoken Language Translation: Evaluation Campaign
- Month:
- October 20-21
- Year:
- 2008
- Address:
- Waikiki, Hawaii
- Venue:
- IWSLT
- SIG:
- SIGSLT
- Publisher:
- Note:
- Pages:
- 63–68
- Language:
- URL:
- https://aclanthology.org/2008.iwslt-evaluation.9
- DOI:
- Cite (ACL):
- Holger Schwenk, Yannick Estève, and Sadaf Abdul Rauf. 2008. The LIUM Arabic/English statistical machine translation system for IWSLT 2008.. In Proceedings of the 5th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 63–68, Waikiki, Hawaii.
- Cite (Informal):
- The LIUM Arabic/English statistical machine translation system for IWSLT 2008. (Schwenk et al., IWSLT 2008)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2008.iwslt-evaluation.9.pdf