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 …

This communication focuses on comparing the template-matching technique to established
probabilistic approaches–such as conditional random fields (CRF)–on a specific linguistic …

The present article focuses on improving the performance of a hybrid Machine Translation
(MT) system, namely PRESEMT. The PRESEMT methodology is readily portable to new …

An ongoing trend in the creation of Machine Translation (MT) systems concerns the
automatic extraction of information from large bilingual parallel corpora. As these corpora …

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 …

Abstract Word Translation Disambiguation is the task of selecting the best translation (s) for
a source word in a certain context, given a set of translation candidates. Most approaches to …

Alignment consists of establishing a mapping between units in a bitext, combining a text in a
source language and its translation in a target language. Alignments can be computed at …

This is a brief guide on how to use the Phrase aligner module (PAM). PAM processes the
bilingual corpora by performing text alignment at word and phrase level within a language …

This chapter describes a number of improvements performed on the basic PRESEMT
system. These improvements are aimed at specific modules of the system in an effort to …