Abstract By the time Machine Translation Summit X is held in September 2005, our group
will have released an open-source machine translation toolbox as part of a large …

Two of the most popular Machine Translation (MT) paradigms are rule based (RBMT) and
corpus based, which include the statistical systems (SMT). When scarce parallel corpus is …

This paper describes the development of the Spanish-German dictionary used in our hybrid
MT system. The compilation process relies entirely on open source tools and freely available …

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 Linguistics Research Center (LRC) of the University of Texas at Austin is currently
developing METAL, a fully-automatic high quality Machine Translation (MT) system. After …

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 …

In recent years, machine translation (MT) research has focused on investigating how hybrid
machine translation as well as system combination approachescan bedesigned so that …

By automatically generating raw output, machine translation has instituted a new approach
to translation where assimilation of the information is the primary goal. However, in …

1. Background In 1988, at the Second TMI conference at Carnegie Mellon University, IBM's
Peter Brown shocked the audience by presenting an approach to Machine Translation (MT) …

In this paper we present an approach to Statis-tical Machine Translation that uses a bilingual
dictionary and a target language model based on n-grams extracted from a monolingual cor …