The MIT-LL/AFRL IWSLT-2008 MT system.

Wade Shen, Brian Delaney, Tim Anderson, Ray Slyh


Abstract
This paper describes the MIT-LL/AFRL statistical MT system and the improvements that were developed during the IWSLT 2008 evaluation campaign. As part of these efforts, we experimented with a number of extensions to the standard phrase-based model that improve performance for both text and speech-based translation on Chinese and Arabic translation tasks. We discuss the architecture of the MIT-LL/AFRL MT system, improvements over our 2007 system, and experiments we ran during the IWSLT-2008 evaluation. Specifically, we focus on 1) novel segmentation models for phrase-based MT, 2) improved lattice and confusion network decoding of speech input, 3) improved Arabic morphology for MT preprocessing, and 4) system combination methods for machine translation.
Anthology ID:
2008.iwslt-evaluation.10
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:
69–76
Language:
URL:
https://aclanthology.org/2008.iwslt-evaluation.10
DOI:
Bibkey:
Cite (ACL):
Wade Shen, Brian Delaney, Tim Anderson, and Ray Slyh. 2008. The MIT-LL/AFRL IWSLT-2008 MT system.. In Proceedings of the 5th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 69–76, Waikiki, Hawaii.
Cite (Informal):
The MIT-LL/AFRL IWSLT-2008 MT system. (Shen et al., IWSLT 2008)
Copy Citation:
PDF:
https://aclanthology.org/2008.iwslt-evaluation.10.pdf