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Handling Reduplication in a Morphological Analyzer for Wamesa

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dc.contributor.advisor Chandlee, Jane Lin, Emily 2020-10-27T20:17:17Z 2020-10-27T20:17:17Z 2020
dc.description.abstract This thesis seeks to assess previous computational work done regarding reduplication in order to account for reduplication in a morphological analyzer for the Wamesa language. This paper includes a brief introduction to Wamesa, reduplication, two-level rules, and morphological analysis. The use of finite-state transducers as morphological analyzers is also discussed. Additionally, various methods that researchers have used to deal with reduplication in computational models are evaluated. Methods include the use of two-level rules and supplementing finite-state transducers with an equality operator, memory devices, and bidirectional reading capabilities. Ultimately, I propose additions and modifications to the Wamesa morphological analyzer, which involves the use of the Helsinki Finite-State Toolkit and two-level rules. en_US
dc.description.sponsorship Swarthmore College. Dept. of Linguistics en_US
dc.language.iso en en_US
dc.rights Full copyright to this work is retained by the student author. It may only be used for non-commercial, research, and educational purposes. All other uses are restricted.
dc.title Handling Reduplication in a Morphological Analyzer for Wamesa en_US
dc.rights.access No restrictions en_US

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