The TÜBÍTAK-UEKAE statistical machine translation system for IWSLT 2008.
Coşkun Mermer, Hamza Kaya, Ömer Farukhan Güneş, Mehmet Uğur Doğan
Abstract
We present the TÜBİTAK-UEKAE statistical machine translation system that participated in the IWSLT 2008 evaluation campaign. Our system is based on the open-source phrase-based statistical machine translation software Moses. Additionally, phrase-table augmentation is applied to maximize source language coverage; lexical approximation is applied to replace out-of-vocabulary words with known words prior to decoding; and automatic punctuation insertion is improved. We describe the preprocessing and postprocessing steps and our training and decoding procedures. Results are presented on our participation in the classical Arabic-English and Chinese-English tasks as well as the new Chinese-Spanish direct and Chinese-English-Spanish pivot translation tasks.- Anthology ID:
- 2008.iwslt-evaluation.20
- 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:
- 138–142
- Language:
- URL:
- https://aclanthology.org/2008.iwslt-evaluation.20
- DOI:
- Cite (ACL):
- Coşkun Mermer, Hamza Kaya, Ömer Farukhan Güneş, and Mehmet Uğur Doğan. 2008. The TÜBÍTAK-UEKAE statistical machine translation system for IWSLT 2008.. In Proceedings of the 5th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 138–142, Waikiki, Hawaii.
- Cite (Informal):
- The TÜBÍTAK-UEKAE statistical machine translation system for IWSLT 2008. (Mermer et al., IWSLT 2008)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2008.iwslt-evaluation.20.pdf