Translation needs have greatly increased
during the last years. In many situations, text to be translated constitutes an
unbounded stream of data that grows continually with time. An effective approach
to translate text ...
Navarro Cerdán, José Ramón(Universitat Politècnica de València, 2014-12-02)
[EN] This work focuses on the study of different techniques of dimensionality reduction, in
combination with different learning algorithms in situations of high multicollinearity,
scattered spaces (due to the low number ...
[EN] This work deals with the application of confidence measures within an interactive-predictive machine translation system in order to reduce human effort. If a small loss in translation quality can be tolerated for the ...
[EN] Machine translation technology is not perfect. To be successfully embedded in real-world applications, it must compensate for its imperfections by interacting intelligently with the user within a computer-assisted ...
[EN] Quality estimation (QE) for machine translation is usually addressed as a regression problem where a learning model is used to predict a quality score from a (usually highly-redundant) set of features that represent ...
[EN] Achieving high-quality translation between any pair of languages is not possible with the current Machine-Translation (MT) technology a human post-editing of the outputs of the MT system being necessary. Therefore, ...
González-Rubio, Jesús; Ortiz-Martínez, Daniel; Benedí Ruiz, José Miguel; Casacuberta Nolla, Francisco(Association for Computational Linguistics, 2013-10-21)
[EN] Current automatic machine translation systems are not able to generate error-free translations and human intervention is often required to correct their output. Alternatively, an interactive framework that integrates ...
[EN] We conducted a field trial in computer-assisted professional translation to
compare interactive translation prediction (ITP) against conventional post-editing (PE)
of machine translation (MT) output. In contrast to ...
González Rubio, Jesús(Universitat Politècnica de València, 2014-06-03)
Machine translation is a fundamental technology that is gaining more importance
each day in our multilingual society. Companies and particulars are
turning their attention to machine translation since it dramatically ...
We present a new technique to estimate the reliability of the words in automatically generated translations. Our approach addresses confidence estimation as a classification problem where a confidence score is to be predicted ...