Efficient decoding has been a fundamental problem in machine translation, especially with
an integrated language model which is essential for achieving good translation quality. We …

In this work we investigate new possibilities for improving the quality of statistical machine
translation (SMT) by applying word reorderings of the source language sentences based on …

This thesis explores the application of data-driven machine translation (MT) to sign
languages (SLs). The provision of an SL MT system can facilitate communication between …

In this paper, we describe a sourceside reordering method based on syntactic chunks for
phrase-based statistical machine translation. First, we shallow parse the source language …

Currently most statistical machine translation systems make use of alignments as a first step
in the process of training the actual translation models. Several researchers have …

Word reordering is one of the most difficult aspects of statistical machine translation (SMT),
and an important factor of its quality and efficiency. Despite the vast amount of research …

The Internet gives us access to a wealth of information in languages we don't understand.
The investigation of automated or semi-automated approaches to translation has become a …