The MIT-LL/AFRL IWSLT 2012 MT system
Jennifer Drexler, Wade Shen, Tim Anderson, Raymond Slyh, Brian Ore, Eric Hansen, Terry Gleason
Abstract
This paper describes the MIT-LL/AFRL statistical MT system and the improvements that were developed during the IWSLT 2012 evaluation campaign. As part of these efforts, we experimented with a number of extensions to the standard phrase-based model that improve performance on the Arabic to English and English to French TED-talk translation task. We also applied our existing ASR system to the TED-talk lecture ASR task, and combined our ASR and MT systems for the TED-talk SLT task. We discuss the architecture of the MIT-LL/AFRL MT system, improvements over our 2011 system, and experiments we ran during the IWSLT-2012 evaluation. Specifically, we focus on 1) cross-domain translation using MAP adaptation, 2) cross-entropy filtering of MT training data, and 3) improved Arabic morphology for MT preprocessing.- Anthology ID:
- 2012.iwslt-evaluation.14
- Volume:
- Proceedings of the 9th International Workshop on Spoken Language Translation: Evaluation Campaign
- Month:
- December 6-7
- Year:
- 2012
- Address:
- Hong Kong, Table of contents
- Venue:
- IWSLT
- SIG:
- SIGSLT
- Publisher:
- Note:
- Pages:
- 109–116
- Language:
- URL:
- https://aclanthology.org/2012.iwslt-evaluation.14
- DOI:
- Cite (ACL):
- Jennifer Drexler, Wade Shen, Tim Anderson, Raymond Slyh, Brian Ore, Eric Hansen, and Terry Gleason. 2012. The MIT-LL/AFRL IWSLT 2012 MT system. In Proceedings of the 9th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 109–116, Hong Kong, Table of contents.
- Cite (Informal):
- The MIT-LL/AFRL IWSLT 2012 MT system (Drexler et al., IWSLT 2012)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2012.iwslt-evaluation.14.pdf