Human evaluation of modern high-quality machine translation systems is a difficult problem,
and there is increasing evidence that inadequate evaluation procedures can lead to …

Automatic metrics for evaluating translation quality are typically validated by measuring how
well they correlate with human assessments. However, correlation methods tend to capture …

The great majority of books on artificial intelligence are written by AI experts who
understandably focus on its achievements and potential transformative effects on society. In …

Machine translations are found to be lexically poorer than human translations. The loss of
lexical diversity through MT poses an issue in the automatic translation of literature, where it …

With the advent of neural machine translation (NMT), machine-generated texts increasingly
resemble human translations. This paradigm shift calls for a comprehensive understanding …

A tendência humana de ver o mundo à própria imagem levou muitas pessoas a afirmar, de
forma precipitada, que os sistemas de inteligência artificial (IA) podem realmente pensar …

Albeit controversial, human-machine parity in neural machine translation has been claimed,
but there is a lack of empirical studies providing concrete evidence. This article aims to …

Professionaltranslationwasoneofthefirstcom… werepairedwithintelligentmachineagents.
Almostsevendecadesafterthefirstmachine translation (MT) experiments in the early 1950s …

This paper examined the quality and user experience of machine translated subtitles of a
TED Talk in the domain of environmental protection in the language combination English …

Diese Arbeit widmet sich der Beantwortung folgender Forschungsfragen: Wie können
Kommafehler aus österreichischen Maturaarbeiten systematisiert werden und welche …