A Comparative Investigation of Morphological Language Modeling for the Languages of the European Union

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Knowledge Triples

Source Entity	Relationship	Target Entity
Crosslingual study Task	uses	EuroParl Corpus Material
Kneser-Ney Method	combinesWith	Morphological Features OtherEntity
Kneser-Ney Method	combinesWith	Shape features OtherEntity
Suffix identification Task	reduces	Perplexity Metric