Abstract Machine translation has already become part of our everyday life. This chapter
gives an overview of machine translation approaches. Statistical machine translation was a …

This paper presents the results of the WMT15 Metrics Shared Task. We asked participants of
this task to score the outputs of the MT systems involved in the WMT15 Shared Translation …

Large scale language models encode rich commonsense knowledge acquired through
exposure to massive data during pre-training, but their understanding of entities and their …

The PPDB is an automatically built database which contains millions of paraphrases in
different languages. Paraphrases in this resource are associated with features that serve to …

The vast majority of Machine Translation (MT) evaluation approaches are based on the idea
that the closer the MT output is to a human reference translation, the higher its quality. While …

Nitika Mathur, Timothy Baldwin, and Trevor Cohn. Towards efficient machine translation
evaluation by modelling annotators. In Proceedings of the Australasian Language …

Abstract Automatic evaluation of Machine Translation (MT) is typically approached by
measuring similarity between the candidate MT and a human reference translation. An …

In this paper, we use multilingual Natural Language Processing (NLP) tools to improve the
reading experience of parallel texts on mobile devices. Such enterprise poses multiple …

The analysis and representation of lexical meaning is a central topic in computational
linguistics research, with both theoretical and application-oriented interest. It allows to study …

Machine Translation (MT) has made significant progress in the recent years and continues
to improve. Today, MT is successfully used in many contexts, including professional …