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Code-switched English pronunciation modeling for Swahili spoken term detection

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dc.contributor.author Kleynhans, N
dc.contributor.author Hartman, W
dc.contributor.author Van Niekerk, D
dc.contributor.author Van Heerden, C
dc.contributor.author Schwartz, R
dc.contributor.author Tsakalidis, S
dc.contributor.author Davel, M
dc.date.accessioned 2017-01-17T09:03:08Z
dc.date.available 2017-01-17T09:03:08Z
dc.date.issued 2016-05
dc.identifier.citation Kleynhans, N., Hartman, W., Van Niekerk, D., Van Heerden, C., Schwartz, R., Tsakalidis, S. and Davel, M. 2016. Code-switched English pronunciation modeling for Swahili spoken term detection. In: 5th Workshop on Spoken Language Technology for Under-Resourced Languages, SLTU 2016, 9-12 May 2016, Yogyakarta, Indonesia. en_US
dc.identifier.uri http://www.cair.za.net/research/outputs/code-switched-english-pronunciation-modeling-swahili-spoken-term-detection
dc.identifier.uri http://hdl.handle.net/10204/8916
dc.description 5th Workshop on Spoken Language Technology for Under-Resourced Languages, SLTU 2016, 9-12 May 2016, Yogyakarta, Indonesia.Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. en_US
dc.description.abstract We 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.iso en en_US
dc.publisher Elsevier, online en_US
dc.relation.ispartofseries Workflow;17614
dc.subject Swahili en_US
dc.subject Spoken language technologies en_US
dc.subject Under-resourced languages en_US
dc.subject Spoken term detection en_US
dc.subject Code switching en_US
dc.subject Pronunciation modeling en_US
dc.title Code-switched English pronunciation modeling for Swahili spoken term detection en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Kleynhans, N., Hartman, W., Van Niekerk, D., Van Heerden, C., Schwartz, R., Tsakalidis, S., & Davel, M. (2016). Code-switched English pronunciation modeling for Swahili spoken term detection. Elsevier, online. http://hdl.handle.net/10204/8916 en_ZA
dc.identifier.chicagocitation Kleynhans, N, W Hartman, D Van Niekerk, C Van Heerden, R Schwartz, S Tsakalidis, and M Davel. "Code-switched English pronunciation modeling for Swahili spoken term detection." (2016): http://hdl.handle.net/10204/8916 en_ZA
dc.identifier.vancouvercitation Kleynhans N, Hartman W, Van Niekerk D, Van Heerden C, Schwartz R, Tsakalidis S, et al, Code-switched English pronunciation modeling for Swahili spoken term detection; Elsevier, online; 2016. http://hdl.handle.net/10204/8916 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Kleynhans, N AU - Hartman, W AU - Van Niekerk, D AU - Van Heerden, C AU - Schwartz, R AU - Tsakalidis, S AU - Davel, M AB - We 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. DA - 2016-05 DB - ResearchSpace DP - CSIR KW - Swahili KW - Spoken language technologies KW - Under-resourced languages KW - Spoken term detection KW - Code switching KW - Pronunciation modeling LK - https://researchspace.csir.co.za PY - 2016 T1 - Code-switched English pronunciation modeling for Swahili spoken term detection TI - Code-switched English pronunciation modeling for Swahili spoken term detection UR - http://hdl.handle.net/10204/8916 ER - en_ZA


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