Unsupervised learning of the morphology of a natural language
Computational Linguistics
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Unsupervised induction of natural language morphology inflection classes
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EACL '06 Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Posters & Demonstrations
Unsupervised induction of natural language morphology inflection classes
SIGMorPhon '04 Proceedings of the 7th Meeting of the ACL Special Interest Group in Computational Phonology: Current Themes in Computational Phonology and Morphology
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SIGPHON '06 Proceedings of the Eighth Meeting of the ACL Special Interest Group on Computational Phonology and Morphology
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EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
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This paper presents a framework for unsupervised natural language morphology induction wherein candidate suffixes are grouped into candidate inflection classes, which are then arranged in a lattice structure. With similar candidate inflection classes placed near one another in the lattice, I propose this structure is an ideal search space in which to isolate the true inflection classes of a language. This paper discusses and motivates possible search strategies over the inflection class lattice structure.