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 hdl:20.500.11880/25224 http://dx.doi.org/10.22028/D291-25168 |
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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