We present a simple method for generating translations with the Moses toolkit (Koehn et al.,
2007) from existing hypotheses produced by other translation engines. As the structures …

Based on an architecture that allows to combine statistical machine translation (SMT) with
rule-based machine translation (RBMT) in a multi-engine setup, we present new results that …

The Edinburgh submissions to the shared task of the Third Workshop on Statistical Machine
Translation (WMT-2008) incorporate recent advances to the open source Moses system. We …

We describe a synthetic method for combining machine translations produced by different
systems given the same input. One-best outputs are explicitly aligned to remove duplicate …

In this paper, we present a Japanese→ English machine translation system that combines
rule-based and statistical translation. Our system is unique in that all of its components are …

Different machine translation engines can be remarkably dissimilar not only with respect to
their technical paradigm, but also with respect to the translation output they yield. System …

This paper describes the system submitted by the Laboratory of Informatics of Grenoble
(LIG) for the fifth Workshop on Statistical Machine Translation. We participated to the news …

This paper describes a statistical machine translation system based on freely available
programs such as Moses. Several new features were added, in particular a two-pass …

This article describes the combination of a SYSTRAN system with a" statistical post-
editing"(SPE) system. We document qualitative analysis on two experiments performed in …

This paper describes the French-English translation system developed by the Avenue
research group at Carnegie Mellon University for the Seventh Workshop on Statistical …