Data Selection with Feature Decay Algorithms Using an Approximated Target Side

7 Nov 2018Alberto PoncelasGideon Maillette de Buy WennigerAndy Way

Data selection techniques applied to neural machine translation (NMT) aim to increase the performance of a model by retrieving a subset of sentences for use as training data. One of the possible data selection techniques are transductive learning methods, which select the data based on the test set, i.e. the document to be translated... (read more)

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