(Automatic) machine translation (MT) is one of the most challenging domains in Natural
Language Processing (NLP) and plays an important role in ensuring global communication …

Constraints in natural language processing play an important role. In this paper we show
which impact (word-order) constraints have on the translation results, when they are applied …

We designed, implemented and assessed an EBMT system that can be dubbed the “purest
ever built”: it strictly does not make any use of variables, templates or training, does not have …

Statistical Machine Translation (SMT) typically has difficulties with less-resourced languages
even with homogeneous data. In this thesis we address the application of Example-Based …

In this work I look at two different paradigms of Example-Based Machine Translation (EBMT).
I combine the strengths of these two systems and build a new EBMT engine that combines …

The main aim of this article is to present the prototype hybrid Machine Translation (MT)
system METIS. METIS is interesting in two ways. As regards MT for low and middle density …

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

(Way and Gough, 2005) provide an indepth comparison of their Example-Based Machine
Translation (EBMT) system with a Statistical Machine Translation (SMT) system constructed …

Recent Advances in Example-Based Machine Translation is of relevance to researchers and
program developers in the field of Machine Translation and especially Example-Based …

We designed, implemented and assessed ALEPH, a pure example-based machine
translation system. It strictly does not make any use of variables, templates or training, does …