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Abstract: This thesis describes a computational system with which phonologists may describe a natural language in terms of autosegmental phonology, currently the most advanced theory pertaining to the sound systems of human languages. This system allows linguists to easily test autosegmental hypotheses against a large corpus of data. The system was designed primarily with tonal systems in mind, but also provides support for tree or feature matrix representation of phonemes (as in The Sound Pattern of... (Update)
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BibTeX entry: (Update)
@misc{ unknown-amar,
author = "Unknown",
title = "AMAR: A Computational Model of Autosegmental Phonology",
url = "citeseer.ist.psu.edu/530632.html" }
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