International Workshop on Spoken Language Translation (IWSLT) 2007

Trento, Italy
October 15-16, 2007

The University of Maryland Translation System for IWSLT 2007

Christopher J. Dyer

Department of Linguistics, University of Maryland, College Park, MD, USA

This paper describes the University of Maryland statistical machine translation system used in the IWSLT 2007 evaluation. Our focus was threefold: using hierarchical phrasebased models in spoken language translation, the incorporation of sub-lexical information in model estimation via morphological analysis (Arabic) and word and character segmentation (Chinese), and the use of n-gram sequence models for source-side punctuation prediction. Our efforts yield significant improvements in Chinese-English and Arabic-English translation tasks for both spoken language and human transcription conditions.

Full Paper    

Bibliographic reference.  Dyer, Christopher J. (2007): "The university of maryland translation system for IWSLT 2007", In IWSLT-2007, 180-185.