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dc.contributor.authorKleynhans, Neil
dc.contributor.authorHartman, William
dc.contributor.authorVan Niekerk, Daniel
dc.contributor.authorVan Heerden, Charl
dc.contributor.authorSchwartz, Rich
dc.contributor.authorTsakalidis, Stavros
dc.contributor.authorDavel, Marelie H.
dc.date.accessioned2019-02-07T09:45:53Z
dc.date.available2019-02-07T09:45:53Z
dc.date.issued2016-05
dc.identifier.citationNeil Kleynhans, William Hartman, Daniel van Niekerk, Charl van Heerden, Rich Schwartz, Stavros Tsakalidis and Marelie Davel, “Code-switched English pronunciation modeling for Swahili spoken term detection”, Procedia Computer Science: Spoken Language Technology for Under-resourced Languages, pp 128-135, Yogyakarta, Indonesia, May 2016.en_US
dc.identifier.urihttp://hdl.handle.net/10394/31798
dc.identifier.urihttps://researchspace.csir.co.za/dspace/handle/10204/8916
dc.identifier.urihttps://www.researchgate.net/publication/301827889_Code-switched_English_Pronunciation_Modeling_for_Swahili_Spoken_Term_Detection
dc.description.abstractWe investigate modeling strategies for English code-switched words as found in a Swahili spoken term detection system. Code switching, where speakers switch language in a conversation, occurs frequently in multilingual environments, and typically deteriorates STD performance. Analysis is performed in the context of the IARPA Babel program which focuses on rapid STD system development for under-resourced languages. Our results show that approaches that specifically target the modeling of code-switched words, significantly improve the detection performance of these words.en_US
dc.language.isoenen_US
dc.publisherProcedia Computer Science: Spoken Language Technology for Under-resourced Languagesen_US
dc.subjectSpoken term detectionen_US
dc.subjectcode switchingen_US
dc.subjectSwahilien_US
dc.subjectpronunciation modelingen_US
dc.titleCode-switched English pronunciation modeling for Swahili spoken term detectionen_US
dc.typeArticleen_US
dc.contributor.researchID23607955 - Davel, Marelie Hattingh
dc.contributor.researchID21022658 - Van Niekerk, Daniël Rudolph


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