Abstract
Morfessor is a family of probabilistic machine learning methods for finding the morphological segmentation from raw text data. Recent developments include the development of semi-supervised methods for utilizing annotated data. Morfessor 2.0 is a rewrite of the original, widely-used Morfessor 1.0 software, with well documented command-line tools and library interface. It includes new features such as semi-supervised learning, online training, and integrated evaluation code.
Cite
CITATION STYLE
Smit, P., Virpioja, S., Grönroos, S. A., & Kurimo, M. (2014). Morfessor 2.0: Toolkit for statistical morphological segmentation. In EACL 2014 - Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics (pp. 21–24). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/e14-2006
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