In this work, we present a principled study of the morphosyntactic information encoded in flat word clusters induced exclusively from classbased language models via Brown Clustering and Exchange algorithm.
we focus on how well these approaches derive clusters that represent Parts of Speech as a measure of the morphosyntactic information encoded.