A framework for unsupervised natural language morphology induction

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Abstract

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.

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APA

Monson, C. (2004). A framework for unsupervised natural language morphology induction. In Proceedings of the Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics (ACL). https://doi.org/10.3115/1219079.1219091

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