Machine transliteration is the process of automatically transforming the script of a word from
a source language to a target language, while preserving pronunciation. The development …

Statistical machine translation is quite robust when it comes to the choice of input
representation. It only requires consistency between training and testing. As a result, there is …

We explore the problem of integrating a phrase-based MT system within a computerassisted
translation (CAT) environment. We argue that one way of achieving successful integration is …

The Internet gives us access to a wealth of information in languages we don't understand.
The investigation of automated or semi-automated approaches to translation has become a …

Multi-parallel corpora provide a potentially rich resource for machine translation. This paper
surveys existing methods for utilizing such resources, including hypothesis ranking and …

This paper describes an approach for computing a consensus translation from the outputs of
multiple machine translation (MT) systems. The consensus translation is computed by …

This paper presents two hybrid architectures combining rulebased and statistical machine
translation (RBMT and SMT) technology. In the first case, several existing MT engines are …

This paper presents an empirical study on how different selections of input translation
systems affect translation quality in system combination. We give empirical evidence that the …

Abstract Systems, methods, and apparatuses including computer program products for
machine translation. A method is provided that includes generating a plurality of machine …

This thesis is concerned with the use of online machine translation (MT) services to translate
web-based text and enable the production and management of multilingual content on the …