Morfessor FlatCat

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Description

Morfessor FlatCat is a method for learning of morphological segmentation of natural language. FlatCat uses a Hidden Markov Model with the states (morph categories) ``{prefix, stem, suffix, non-morpheme}`` for modeling the word internal ordering of morphs. The non-morpheme category (marked ZZZ) is intended to catch segments that are not proper morphs because they are fragments of a larger morph. FlatCat can be trained in an unsupervised or semi-supervised fashion.