Anthony Aue, Qin Gao, Hany Hassan, Xiaodong He, Gang Li, Nicholas Ruiz, and Frank Seide
This paper describes the systems used for the MSR+FBK
submission for the SLT track of IWSLT 2013. Starting from
a baseline system we made a series of iterative and additive
improvements, including a novel method for processing
bilingual data used to train MT systems for use on ASR output.
Our primary submission is a system combination of five
individual systems, combining the output of multiple ASR
engines with multiple MT techniques. There are two contrastive
submissions to help place the combined system in
context. We describe the systems used and present results on
the test sets.
In Internaltional Workshop on Spoken Language Translation (IWSLT)