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

In the present article, a hybrid approach is proposed for implementing a machine translation
system using a large monolingual corpus coupled with a bilingual lexicon and basic NLP …

Machine translation (MT) is the mechanization and automation of the process of translating
from one natural language into another. Translation is a task which needs to tackle the …

Following on research that resulted in the translation methodology known as the< C, A>, T
framework, the present paper reports on the further development and implementation now …

Recent studies in the field of Machine Translation (MT) and Natural Language Processing
(NLP) have shown that existing models amplify biases observed in the training data. The …

Abstract Machine translation (MT) is-not only historically-a prime application of language
technology. After years of seeming stagnation, the price pressure on language service …

SYSTRAN is an international MT system that has been bought, developed and is used by
the European Commission for internal purposes. In its current state, the Commission's …

At the first Machine Translation Summit in Hakone, 2 years ago, I had been asked to present
the research directions envisaged at GETA (Groupe d'Etude pour la Traduction …

A thorough discussion of MT evaluation must also include other NLP resources. They do not
perform translation, but they do contribute to our understanding of what we can do to …

For the past 10 years, research activities in machine translation have been increasing in
many countries, especially in Europe, Japan, USA and the Pacific Rim countries. The more …