Using sub-word n-gram models for dealing with OOV in large vocabulary speech recognition for Latvian

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dc.contributor.authorSalimbajevs, Askars
dc.contributor.authorStrigins, Jevgenijs
dc.contributor.editorMegyesi, Beáta
dc.date.accessioned2023-09-22T13:19:42Z
dc.date.available2023-09-22T13:19:42Z
dc.date.issued2015
dc.identifier.issnISSN 1736-6305 (Online)
dc.identifier.urihttps://hdl.handle.net/10062/92913
dc.language.isoeng
dc.publisherVilnius, Lithuania, Linköping University Electronic Press, Sweden, pp. 281--285
dc.relation.ispartofProceedings of the 20th Nordic Conference of Computational Linguistics (NODALIDA 2015)
dc.rightsopenAccessen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Estonia*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/ee/*
dc.titleUsing sub-word n-gram models for dealing with OOV in large vocabulary speech recognition for Latvianen
dc.typeArticleen

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Proceedings of the 20th Nordic Conference of Computational Linguistics (NODALIDA 2015)