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Code-switched English Pronunciation Modeling for Swahili Spoken Term Detection (Pub Version, Open Access)
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. ; Procedia Computer Science , 81 , 01 Jan 0001, 01 Jan 0001, Presented at the 5th Workshop on Spoken Language Technology for Under-resourced Languages, SLTU 2016, held in Yogyakarta, Indonesia, 9-12 May 2016.
Keyword: automated speech recognition; code switching; computational linguistics; dictionaries; digital data; IARPA Collection; Linguistics; natural language computing; pronunciation modeling; spoken term detection; Swahili; test and evaluation; training; word lists
URL: http://www.dtic.mil/docs/citations/AD1040155
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD1040155
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