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 …