The current paper evaluates the performance of the PRESEMT methodology, which
facilitates the creation of machine translation (MT) systems for different language pairs. This …

The current article discusses a novel language-independent approach to machine
translation, based on machine learning principles and inexpensive language resources …

The present article provides a comprehensive review of the work carried out on developing
PRESEMT, a hybrid language-independent machine translation (MT) methodology. This …

The current paper presents a languageindependent methodology, which facilitates the
creation of machine translation (MT) systems for various language pairs. This methodology …

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 …

We report on an on-going research project aimed at increasing the range of translation
equivalents which can be automatically discovered by MT systems. The methodology is …

The present article reports on efforts to improve the translation accuracy of a corpus–based
hybrid MT system developed using the PRESEMT methodology. This methodology operates …

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 current article presents a novel language-independent approach to machine translation
system, based on machine learning principles and inexpensive language resources …

This article describes a hybrid approach to machine translation (MT) that is inspired by the
rule-based, statistical, example-based, and other hybrid machine translation approaches …