Paper: Paradigmatic Cascades: A Linguistically Sound Model Of Pronunciation By Analogy

ACL ID P97-1055
Title Paradigmatic Cascades: A Linguistically Sound Model Of Pronunciation By Analogy
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1997
Authors

We present and experimentally evaluate a new model of pronunciation by analogy: the paradigmatic cascades model. Given a pronunciation lexicon, this algorithm first extracts the most productive paradigmatic mappings in the graphemic domain, and pairs them statistically with their corre- late(s) in the phonemic domain. These mappings are used to search and retrieve in the lexical database the most promising analog of unseen words. We finally apply to the analogs pronunciation the correlated series of mappings in the phonemic domain to get the desired pronunciation. 1 Motivation Psychological models of reading aloud traditionally assume the existence of two separate routes for con- verting print to sound: a direct lexical route, which is used to read familiar words, and a dual route rely- in...