Please use this identifier to cite or link to this item: doi:10.22028/D291-25266
Title: GLR parsing of word lattices using a beam search method
Author(s): Staab, Steffen
Language: English
Year of Publication: 1995
SWD key words: Künstliche Intelligenz
Free key words: artificial intelligence
DDC notations: 004 Computer science, internet
Publikation type: Report
Abstract: The process of understanding spoken language requires the efficient processing of ambiguities that arise by the nature of speech. This paper presents an approach that allows the efficient incremental integration of speech recognition and language understanding using Tomita´s generalized LR-parsing algorithm. For this purpose the GLR-lattice-parsing-algorithm is revised so that an agenda mechanism can be used to control the flow of computation of the parsing process. Subsequently the HMM-evaluations of the word models are combined with a stochastical language model to do a beam search similar to where chartparsers are used to do the job.
Link to this record: urn:nbn:de:bsz:291-scidok-53696
Series name: Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz]
Series volume: 127
Date of registration: 10-Jun-2013
Faculty: SE - Sonstige Einrichtungen
Department: SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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