We introduce the brat rapid annotation tool (BRAT), an intuitive web-based tool for text
annotation supported by Natural Language Processing (NLP) technology. BRAT has been …

One of the most promising approaches to machine translation consists in formulating the
problem by means of a pattern recognition approach. By doing so, there are some tasks in …

The automatic estimation of machine translation (MT) output quality is a hard task in which
the selection of the appropriate algorithm and the most predictive features over reasonably …

In this paper we investigate the problem of adapting a machine translation system to the
feedback provided by multiple post-editors. It is well know that translators might have very …

Automatic translation of natural language is still (as of 2017) a long-standing but unmet
promise. While advancing at a fast rate, the underlying methods are still far from actually …

Adaptation methods for phrase-based statistical Machine Translation (MT) have been
explored in the literature under different paradigms, such as domain adaptation and topic …

The automatic estimation of Machine Translation output quality is a hard task, where the
selection of the appropriate algorithm and the most predictive features often plays a crucial …