An Evaluation of Two Vocabulary Reduction Methods for Neural Machine Translation

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Knowledge Triples

Source Entity	Relationship	Target Entity
Linguistically Motivated Vocabulary Reduction Method	benefits	Morphologically Rich Languages OtherEntity
Neural Machine Translation Method	employs	Subword Level Representations Method
Neural Machine Translation Method	includes	Linguistically Motivated Vocabulary Reduction Method
Neural Machine Translation Method	uses	Fixed Size Vocabulary OtherEntity
Translation Directions OtherEntity	involves	Arabic OtherEntity
Translation Directions OtherEntity	involves	Czech OtherEntity
Translation Directions OtherEntity	involves	German OtherEntity
Translation Directions OtherEntity	involves	Italian OtherEntity
Translation Directions OtherEntity	involves	Turkish OtherEntity