Access to information is increasingly global, which brings with it the growth in a non-English
speaking public and, as such, a demand for tools that allow users to access this information …

Nowadays, most important developments in Machine Translation (MT) are achieved via
combining data-driven and rule-based techniques. These combinations typically involve …

In this paper the MTUOC project, aiming to provide an easy integration of neural and
statistical machine translation systems, is presented. Almost all the required software to train …

The need for receiving relevant, fast and up-to-date information in one's language is today
more important than ever, especially under the current crisis conditions. Machine Translation …

It is hardly an overstatement to say that machine translation (MT) has recently recaptured its
place as the single most important application of computational linguistics and natural …

The performance of machine translation technology after 50 years of development leaves
much to be desired. There is a high demand for well performing and cheap MT systems for …

The research described in this paper is rooted in the endeavours to dynamically combine
different MT approaches in order to improve the performance of MT systems–most …

The paper describes the incorporation of statistical knowledge into two different Rule-Based
MT (RBMT) systems. In earlier experiments, these systems were linked with Memory-Base …

Despite the long history of research into automated translation technologies, the original
goal of machine translation (MT)—to replace human translators—has not yet been met …

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 …