International Workshop on Spoken Language Translation (IWSLT) 2009

Tokyo, Japan
December 1-2, 2009

The TÜBITAK-UEKAE Statistical Machine Translation System for IWSLT 2009

Coşkun Mermer, Hamza Kaya, Mehmet Uğur Doğan

National Research Institute of Electronics and Cryptology (UEKAE), The Scientific and Technological Research Council of Turkey (TÜBITAK), Gebze, Kocaeli, Turkey

We describe our Arabic-to-English and Turkish-to-English machine translation systems that participated in the IWSLT 2009 evaluation campaign. Both systems are based on the Moses statistical machine translation toolkit, with added components to address the rich morphology of the source languages. Three different morphological approaches are investigated for Turkish. Our primary submission uses linguistic morphological analysis and statistical disambiguation to generate morpheme-based translation models, which is the approach with the better translation performance. One of the contrastive submissions utilizes unsupervised subword segmentation to generate non-linguistic subword-based translation models, while another contrastive system uses word-based models but makes use of lexical approximation to cope with out-of-vocabulary words, similar to the approach in our Arabic-to-English submission.

Full Paper     Presentation (pdf)

Bibliographic reference.  Mermer, Coşkun / Kaya, Hamza / Doğan, Mehmet Uğur (2009): "The tÜBITAK-UEKAE statistical machine translation system for IWSLT 2009", In IWSLT-2009, 113-117.