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AMAR: A Computational Model of Autosegmental Phonology

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dc.creator Albro, Daniel M.
dc.date 2004-10-20T19:55:03Z
dc.date 2004-10-20T19:55:03Z
dc.date 1993-10-01
dc.date.accessioned 2013-10-09T02:46:55Z
dc.date.available 2013-10-09T02:46:55Z
dc.date.issued 2013-10-09
dc.identifier AITR-1450
dc.identifier http://hdl.handle.net/1721.1/6788
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description This 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.
dc.format 158 p.
dc.format 395459 bytes
dc.format 1742231 bytes
dc.format application/octet-stream
dc.format application/pdf
dc.language en_US
dc.relation AITR-1450
dc.subject autosegmental phonology
dc.subject computational phonology
dc.subject scomputational linguistics
dc.title AMAR: A Computational Model of Autosegmental Phonology


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