In this thesis we investigate the automatic improvements of statistical machine translation systems at runtime based on user feedback. We also propose a framework to use the proposed algorithms in large scale translation settings
New variations on the application of the passive-aggressive algorithm to statistical machine transl...
In this article we present a three-step methodology for dynamically improving a statis-tical machine...
New variations on the application of the passive-aggressive algorithm to statistical machine transl...
In this article we present a three-step methodology for dynamically improving a statistical machine ...
In this article we present a three-step methodology for dynamically improving a statistical machine ...
We present a novel online learning approach for statistical machine translation tailored to the comp...
With the arrival of free on-line machine translation (MT) systems, came the possibility to improve a...
State-of-the-art Machine Translation (MT) systems are still far from being perfect. An al-ternative ...
Statistical machine translation (SMT) has emerged as the currently most promising approach for machi...
With the arrival of free on-line machine translation (MT) systems, came the possibility to improve a...
In (Mellebeek et al., 2005), we proposed the design, implementation and evaluation of a novel and mo...
In (Mellebeek et al., 2005), we proposed the design, implementation and evaluation of a novel and mo...
In (Mellebeek et al., 2005), we proposed the design, implementation and evaluation of a novel and mo...
In this article we present a three-step methodology for dynamically improving a statistical machine ...
open5siIn this article we present a three-step methodology for dynamically improving a statistical m...
New variations on the application of the passive-aggressive algorithm to statistical machine transl...
In this article we present a three-step methodology for dynamically improving a statis-tical machine...
New variations on the application of the passive-aggressive algorithm to statistical machine transl...
In this article we present a three-step methodology for dynamically improving a statistical machine ...
In this article we present a three-step methodology for dynamically improving a statistical machine ...
We present a novel online learning approach for statistical machine translation tailored to the comp...
With the arrival of free on-line machine translation (MT) systems, came the possibility to improve a...
State-of-the-art Machine Translation (MT) systems are still far from being perfect. An al-ternative ...
Statistical machine translation (SMT) has emerged as the currently most promising approach for machi...
With the arrival of free on-line machine translation (MT) systems, came the possibility to improve a...
In (Mellebeek et al., 2005), we proposed the design, implementation and evaluation of a novel and mo...
In (Mellebeek et al., 2005), we proposed the design, implementation and evaluation of a novel and mo...
In (Mellebeek et al., 2005), we proposed the design, implementation and evaluation of a novel and mo...
In this article we present a three-step methodology for dynamically improving a statistical machine ...
open5siIn this article we present a three-step methodology for dynamically improving a statistical m...
New variations on the application of the passive-aggressive algorithm to statistical machine transl...
In this article we present a three-step methodology for dynamically improving a statis-tical machine...
New variations on the application of the passive-aggressive algorithm to statistical machine transl...
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