RTM Stacking Results for Machine Translation Performance Prediction

WS 2019 Ergun Bi{\c{c}}ici

We obtain new results using referential translation machines with increased number of learning models in the set of results that are stacked to obtain a better mixture of experts prediction. We combine features extracted from the word-level predictions with the sentence- or document-level features, which significantly improve the results on the training sets but decrease the test set results...

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