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This work systematically analyzes the smoothing effect of vocabularyreduction for phrase translation models. We extensively compare variousword-level vocabularies to show that the performance of smoothing is notsignificantly affected by the choice of vocabulary. This result providesempirical evidence that the standard phrase translation model is extremelysparse. Our experiments also reveal that vocabulary reduction is more effectivefor smoothing large-scale phrase tables.

A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing