The MIT-LL/AFRL IWSLT-2010 MT System
Abstract
This paper describes the MIT-LL/AFRL Statistical Machine Translation (SMT) and the improvements that were developed during the IWSLT2010 evaluation campaign. As part of these efforts, we experimented with a number of extensions to the standard phrase-based model to improve performance on the Arabic and Turkish translations tasks. We also participated in the new French to English BTEC and English to French TALK tasks. We discuss the architecture of the MIT-LL/AFRL SMT systems, improvements over our 2009 system, and experiments we ran during the International Workshop on Spoken Language Translation 2010 evaluation. Specifically we focus on 1) cross-domain translation using MAP adaptation, 2) Turkish morphological processing and translation, 3) improved Arabic morphology for machine translation preprocessing, and 4) system combination methods for machine translation.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2011
- Accession Number
- ADA580388
Entities
People
- A. R. Aminzadeh
- Ray Slyh
- Tim Anderson
- Wade Shen
Organizations
- Massachusetts Institute of Technology