Nowadays, in the globalised context in which we find ourselves, language barriers can still
be an obstacle to accessing information. On occasions, it is impossible to satisfy the demand …

Statistical machine translation (SMT) treats the translation of natural language as a machine
learning problem. By examining many samples of human-produced translation, SMT …

Machine translation has made rapid advances in recent years. Millions of people are using it
today in online translation systems and mobile applications in order to communicate across …

Within the field of Statistical Machine Translation (SMT), the neural approach (NMT) has
recently emerged as the first technology able to challenge the long-standing dominance of …

Abstract Machine Translation (MT) is being deployed for a range of use-cases by millions of
people on a daily basis. There should, therefore, be no doubt as to the utility of MT …

The quality of machine translation has increased remarkably over the past years, to the
degree that it was found to be indistinguishable from professional human translation in a …

Recently, neural machine translation (NMT) has been extended to multilinguality, that is to
handle more than one translation direction with a single system. Multilingual NMT showed …

In this paper, we describe compare-mt, a tool for holistic analysis and comparison of the
results of systems for language generation tasks such as machine translation. The main goal …

Despite the acknowledged importance of translation technology in translation studies
programmes and the current ascendancy of Statistical Machine Translation (SMT), there has …

This chapter presents an overview of different approaches and tasks related to classification
and analysis of errors in machine translation (MT) output. Manual error classification is a …