AMAR: A Computational Model of Autosegmental Phonology

Item

Title: en_US AMAR: A Computational Model of Autosegmental Phonology
Creator: en_US Albro, Daniel M.
Date: 2004-10-20T19:55:03Z
Date Available: 2004-10-20T19:55:03Z
Date Issued: en_US 1993-10-01
Identifier: en_US AITR-1450
uri: http://hdl.handle.net/1721.1/6788
Abstract: en_US 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.
Extent: en_US 158 p.; 395459 bytes; 1742231 bytes
Format: application/octet-stream; application/pdf
Language: en_US
Relation: en_US AITR-1450
Subject: en_US autosegmental phonology; en_US computational phonology; en_US scomputational linguistics

Item sets: AI Technical Reports (1964 - 2004)