Morfessor FlatCat is a method for learning of morphological segmentation of natural language.
Morfessor FlatCat combines the semi-supervised training previously used in Morfessor Baseline, with the morph categories from Morfessor Categories-MAP and Categories-ML. There are four morph categories: three proper categories (stem, prefix and suffix) and a non-morpheme category (marked ZZZ), for segments that are not proper morphs because they are fragments of a larger morph. The morph categories allow Morfessor FlatCat to be used as a stemmer.
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Morfessor FlatCat 1.0 is a Python package that includes library interface and command line scripts. They have been tested on a Linux operating system. Morfessor can be used freely under the terms of the simplified BSD license below. If Morfessor FlatCat is used in scientific work, please refer to the paper describing the Morfessor FlatCat method.
Copyright (c) 2014, Stig-Arne Grönroos All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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