Please use this identifier to cite or link to this item: doi:10.22028/D291-25168
Title: Two-level modelling of speech variant rules
Author(s): Kirchhoff, Katrin
Language: English
Year of Publication: 1995
OPUS Source: Saarbrücken, 1995
SWD key words: Künstliche Intelligenz
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: This paper describes a phonetic knowledge base for German consisting of a set of speech variant rules. These rules have been established on the basis of empirical, corpus-based investigations enriched by linguistic generalisations. Theoretical and computational foundations of speech variant rules are discussed, and their practical application in a linguistic word recognition system (BELLEx3, U Bielefeld) is demonstrated. Although the speech variant rules described in this paper have been established for the purpose of knowledge-based word recognition, their declarative implementation in a two-level transducer enables them to be employed for both recognition and generation of speech variants. Finally, an extension of standard two-level techniques is described whereby two-level transducers defining constraints on mapping relations between input and output forms are integrated with wellformedness-constraints on input forms stated in terms of finite-state automata.
Link to this record: urn:nbn:de:bsz:291-scidok-41392
Series name: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Series volume: 82
Date of registration: 2-Sep-2011
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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