Abstract Machine translation (MT), especially Google Translate (GT), is widely used by
language learners and those who need help with translation. MT research, particularly that …

We present Jane, RWTH's hierarchical phrase-based translation system, which has been
open sourced for the scientific community. This system has been in development at RWTH …

Sign languages represent an interesting niche for statistical machine translation that is
typically hampered by the scarceness of suitable data, and most papers in this area apply …

In this paper, we propose an alternate technique to improve the performance of the statistical
machine translation (SMT) system. Here, the phrases are re-weighted in light of linguistic …

We present Jane 2, an open source toolkit supporting both the phrase-based and the
hierarchical phrase-based paradigm for statistical machine translation. It is implemented in …

In this work we review and compare three additional syntactic enhancements for the
hierarchical phrase-based translation model, which have been presented in the last few …

In this article we will describe the design and implementation of Jane, an efficient
hierarchical phrase-based (HPB) toolkit developed at RWTH Aachen University. The system …

Hierarchical phrase-based models are attractive because they provide a consistent
framework within which to characterize both local and long-distance reorderings, but they …

This paper describes the statistical machine translation (SMT) systems developed at RWTH
Aachen University for the translation task of the NAACL 2012 Seventh Workshop on …

A very useful service to the example-based machine translation (EBMT) community was
provided by Harold Somers in his summary article which appeared in 1999, and was …