In this article, aspects regarding the optimisation of machine translation systems via
evolutionary computation algorithms are examined. The article focuses on pattern …

In this paper, an automated method is proposed for optimising the real-valued parameters of
a hybrid Machine Translation (MT) system that employs pattern recognition techniques …

In a statistical machine translation system (SMTS), decoding is the process of finding the
most likely translation based on a statistical model, according to previously learned …

Globalization has made machine translation an attractive area of research and
development. As technology opens up e-commerce opportunities, companies must …

Abstract Machine Translation has become an important tool in overcoming the language
barrier. The quality of translations depends on the languages and used methods. The …

In previous work we have shown results of a first experiment in Statistical Machine
Translation (SMT) for Brazilian Portuguese and American English using state-of-the-art …

We present a novel approach for parameter adjustment in empirical machine translation
systems. Instead of relying on a single evaluation metric, or in an ad-hoc linear combination …

In a statistical machine translation system (SMTS), decoding is the process of finding the
most likely translation based on a statistical model according to previously learned …

Translations in statistical machine translation (SMT) are generated on the basis of statistical
models, the parameters of which are derived from the analysis of aligned bilingual text …

This paper describes a novel approach aimed to identify a priori which subset of machine
translation (MT) systems among a known set will produce the most reliable translations for a …