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AMAR: A Computational Model of Autosegmental Phonology

dc.date.accessioned2004-10-20T19:55:03Z
dc.date.accessioned2018-11-24T10:21:51Z
dc.date.available2004-10-20T19:55:03Z
dc.date.available2018-11-24T10:21:51Z
dc.date.issued1993-10-01en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6788
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/6788
dc.description.abstractThis report 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 English), as well as syllable structures and other aspects of phonological theory. Underspecification is allowed, and trees may be specified before, during, and after rule application. The association convention is automatically applied, and other principles such as the conjunctivity condition are supported. The method of representation was designed such that rules are designated in as close a fashion as possible to the existing conventions of autosegmental theory while adhering to a textual constraint for maximum portability.en_US
dc.format.extent158 p.en_US
dc.format.extent395459 bytes
dc.format.extent1742231 bytes
dc.language.isoen_US
dc.subjectautosegmental phonologyen_US
dc.subjectcomputational phonologyen_US
dc.subjectscomputational linguisticsen_US
dc.titleAMAR: A Computational Model of Autosegmental Phonologyen_US


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