Despite the promising results achieved in last years by statistical machine translation, and
more precisely, by the neural machine translation systems, this technology is still not error …

Neural machine translation systems require large amounts of training data and resources.
Even with this, the quality of the translations may be insufficient for some users or domains …

Abstract Machine translation systems require human revision to obtain high-quality
translations. Interactive methods provide an efficient human–computer collaboration, notably …

On-line handwriting text recognition (HTR) could be used as a more natural way of
interaction in many interactive applications. However, current HTR technology is far from …

Many of the world's languages are falling out of use without a written record and minimal
linguistic documentation. Language documentation is a slow process and there are an …

The paper aimed at exploring the current phenomenon regarding human translation with
machine translation. Human translation (HT), by definition, is when a human translator …

This work is focused on enhancing highly interactive text-editing applications with gestures.
Concretely, we study Computer Assisted Transcription of Text Images (CATTI), a handwriting …

The output of automatic translation systems is usually destined for human consumption. In
most cases, translators use machine translation (MT) as the first step in the process of …

Translation models have been used to improve automatic speech recognition when speech
input is paired with a written translation, primarily for the task of computer-aided translation …

This thesis explores interactive translation dictation (ITD), a translation technique that
involves interaction with multimodal interfaces equipped with voice recognition (VR) …