In the last ten years there has been a significant amount ofresearch in Machine Translation
within a``new''paradigm ofempirical approaches, often labelled collectively as``Example …

This chapter describes the relevance, importance, and characteristics of MT postediting. The
task of post-editing has led to the creation of a new role, that of the post-editor, within the …

Generalised access to the Internet and globalisation has led to increased demand for
translation services and a resurgence in the use of machine translation (MT) systems. MT …

In the last ten to fifteen years there has been a significant amount of research in Machine
Translation within a 'new'paradigm of empirical approaches, often labelled collectively as …

Abstract Example-Based Machine Translation (EBMT) using partial exact matching against a
database of translation examples has proven quite successful, but requires a large amount …

This thesis explores the application of data-driven machine translation (MT) to sign
languages (SLs). The provision of an SL MT system can facilitate communication between …

Despite the pressure to reduce costs in the advent of machine translation plus post-editing
(PE), many professional translators are reluctant to accept PE jobs, which are perceived as …

We present a neural network based automatic post-editing (APE) system to improve raw
machine translation (MT) output. Our neural model of APE (NNAPE) is based on a …

The TELA structure, a set of layered and linked lattices, and the notion of Similarity between
TELA structures, based on the Edit Distance, are introduced in order to formalize Translation …

We present a set of algorithms that enable us to translate natural language sentences by
exploiting both a translation memory and a statistical-based translation model. Our results …