This article reports on a key-logging study carried out to test the benefits of post-editing
Machine Translation (MT) for the professional translator within a hypothetico-deductive …

Human–computer interaction (HCI) is particularly interesting because full-immersive
technology may be approached differently by users, depending on the complexity of the …

Measuring simultaneous processing, a reliable predictor of reading development and
reading difficulties (RDs), has traditionally involved cognitive tasks that test reaction or …

In the present paper, we describe a large corpus of eye movement data, collected during
natural reading of a human translation and a machine translation of a full novel. This data …

Parallel corpora are central to translation studies and contrastive linguistics. However,
training machine translation (MT) systems by barely using the semantic aspects of a parallel …

A lack of strong correlation between post-editing effort as measured by string distance
measures like Levenshtein and post-editing time combined with the difficulties of obtaining …

The key objectives of this thesis were to explore the profile of translators involved in post-
editing, to outline the scope of required competencies and skills and to suggest a valid …

We present the Eyetracked Multi-Modal Translation (EMMT) corpus, a dataset containing
monocular eye movement recordings, audio and 4-electrode electroencephalogram (EEG) …

The combination of machines and humans for translation is effective, with many studies
showing productivity gains when humans post-edit machine-translated output instead of …

Machine translation evaluation is a very important activity in machine translation
development. Automatic evaluation metrics proposed in literature are inadequate as they …