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URL: http://scidok.sulb.uni-saarland.de/volltexte/2011/4139/


Two-level modelling of speech variant rules

Kirchhoff, Katrin

Quelle: (1995) Saarbrücken, 1995
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Dokument 1.pdf (303 KB)

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SWD-Schlagwörter: Künstliche Intelligenz
Institut: DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
DDC-Sachgruppe: Informatik
Dokumentart: Report (Bericht)
Schriftenreihe: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Bandnummer: 82
Sprache: Englisch
Erstellungsjahr: 1995
Publikationsdatum: 02.09.2011
Kurzfassung auf Englisch: 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.
Lizenz: Standard-Veröffentlichungsvertrag

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