Morfessor 2.0: Toolkit for statistical morphological segmentation

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Journal Title
Journal ISSN
Volume Title
School of Electrical Engineering | A4 Artikkeli konferenssijulkaisussa
Date
2014
Major/Subject
Mcode
Degree programme
Language
en
Pages
4
Series
Abstract
Morfessor is a family of probabilistic machine learning methods forfinding the morphological segmentation from raw text data. Recentdevelopments include the development of semi-supervised methods forutilizing annotated data. Morfessor 2.0 is a rewrite of the original,widely-used Morfessor 1.0 software, with well documented command-linetools and library interface. It includes algorithmic improvements and new features such as semi-supervised learning, online training, and integrated evaluation code.
Description
Keywords
morphological segmentation, morfessor
Other note
Citation
Smit, Peter & Virpioja, Sami & Grönroos, Stig-Arne & Kurimo, Mikko. 2014. Morfessor 2.0: Toolkit for statistical morphological segmentation. The 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Gothenburg, Sweden, April 26-30, 2014.