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Dimensionality reduction methods for machine translation quality estimation

González Rubio, Jesús; Navarro Cerdán, José Ramón; Casacuberta Nolla, Francisco (Springer Verlag (Germany), 2013-12)

[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 ...
Estimación de biomasa en herbáceas a partir de datos hiperespectrales, regresión PLS y la transformación continuum removal

Marabel-García, M.; Álvarez-Taboada, F. (Universitat Politècnica de València, 2014-12-16)

[EN] The aim of this research work was to compare the results of two methods to estimate aboveground biomass by using field spectrometer data: (i) Partial least squares regression (PLSR), and (ii) linear regression applied ...
On the effective deployment of current machine translation technology

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 ...

Mostrando ítems 1-3 de 3