Due to the constantly evolving social media and different types of sources of information, we
are facing different fake news and different types of misinformation. Currently, we are …

This study is focused on the comparison of phrase-based statistical machine translation
(SMT) systems and neural machine translation (NMT) systems using automatic metrics for …

The aim of the paper is to find out whether it is necessary to use all automatic measures of
error rate and accuracy when evaluating the quality of machine translation output from the …

The rapid technologisation of translation has influenced the translation industry's direction
towards machine translation, post-editing, subtitling services and video content translation …

The paper focuses on investigating the impact of artificial agent (machine translator) on
human agent (posteditor) using a proposed methodology, which is based on language …

Post-editing has become an important part not only of translation research but also in the
global translation industry. While computer-aided translation tools, such as translation …

Machine translation is to automatically translate one natural language text into another. It is
one of the important applications of natural language processing. The research of machine …

The paper aims to obtain an error profile for machine translation (MT) from English into
Slovak. We present an adjusted framework for MT evaluation, which is based on Vanko's …

With the rapid development of computer technology, machine translation has also become
an important content. Because it is a tool that can be understood, remembered, stored and …

Abstract Machine translation (MT) evaluation plays an important task in the translation
industry. The main issue in evaluating the MT quality is an unclear definition of translation …