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 many conventional MT systems, the translation output of a machine translation system is
strongly affected by the sentence patterns of the source language due to the one-way …

This paper presents a comparative study of two alternative approaches to statistical machine
translation (SMT) and their application to a task of English-to-Latvian translation …

Statistical machine translation (SMT) is an approach to Machine Translation (MT) that uses
statistical models whose parameter estimation is based on the analysis of existing human …

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 …

The present chapter reviews the development of a hybrid Machine Translation (MT)
methodology, which is readily portable to new language pairs. This MT methodology (which …

Translation ranking is inherently of great significance for machine translation (MT), as it
allows the comparison of performances of multiple MT systems as well as for its efficient …

In recent years, machine translation (MT) research focused on investigating how hybrid MT
as well as MT combination systems can be designed so that the resulting translations give …

This paper describes an Example-Based Machine Translation prototype and presents an
evaluation of the impact of using a domainspecific vocabulary on its performance. This …

In this paper, we propose a classification‐based approach for hybridizing statistical machine
translation and rule‐based machine translation. Both the training dataset used in the …