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Efficient generation of pronunciation dictionaries: machine learning factors during bootstrapping

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dc.contributor.author Davel, MH
dc.contributor.author Barnard, E
dc.date.accessioned 2012-01-18T08:51:52Z
dc.date.available 2012-01-18T08:51:52Z
dc.date.issued 2004-10
dc.identifier.citation Davel, MH and Barnard, E. 2004. Efficient generation of pronunciation dictionaries: machine learning factors during bootstrapping. 8th International Conference on Spoken Language Processing, Jeju Island, Korea, 4 - 8 October 2004 en_US
dc.identifier.uri http://hdl.handle.net/10204/5502
dc.description 8th International Conference on Spoken Language Processing, Jeju Island, Korea, 4 - 8 October 2004 en_US
dc.description.abstract The authors focus on factors related to the underlying rule-extraction algorithms, and demonstrate variants of the Dynamically Expanding Context algorithm, which are beneficial for this application. They show that continuous updating of the learned rules, coupled with a new approach to grapheme-to-phoneme alignment and a sliding-window approach to choosing the content window, leads to an efficient and accurate bootstrapping mechanism. In this paper the authors describe the techniques implemented to optimise the process from a machine learning perspective and report on the results achieved. en_US
dc.language.iso en en_US
dc.subject Audio-enabled bootstrapping en_US
dc.subject Machine learning en_US
dc.subject Human intervention en_US
dc.subject Spoken language processing en_US
dc.subject Pronunciation dictionaries en_US
dc.title Efficient generation of pronunciation dictionaries: machine learning factors during bootstrapping en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Davel, M., & Barnard, E. (2004). Efficient generation of pronunciation dictionaries: machine learning factors during bootstrapping. http://hdl.handle.net/10204/5502 en_ZA
dc.identifier.chicagocitation Davel, MH, and E Barnard. "Efficient generation of pronunciation dictionaries: machine learning factors during bootstrapping." (2004): http://hdl.handle.net/10204/5502 en_ZA
dc.identifier.vancouvercitation Davel M, Barnard E, Efficient generation of pronunciation dictionaries: machine learning factors during bootstrapping; 2004. http://hdl.handle.net/10204/5502 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Davel, MH AU - Barnard, E AB - The authors focus on factors related to the underlying rule-extraction algorithms, and demonstrate variants of the Dynamically Expanding Context algorithm, which are beneficial for this application. They show that continuous updating of the learned rules, coupled with a new approach to grapheme-to-phoneme alignment and a sliding-window approach to choosing the content window, leads to an efficient and accurate bootstrapping mechanism. In this paper the authors describe the techniques implemented to optimise the process from a machine learning perspective and report on the results achieved. DA - 2004-10 DB - ResearchSpace DP - CSIR KW - Audio-enabled bootstrapping KW - Machine learning KW - Human intervention KW - Spoken language processing KW - Pronunciation dictionaries LK - https://researchspace.csir.co.za PY - 2004 T1 - Efficient generation of pronunciation dictionaries: machine learning factors during bootstrapping TI - Efficient generation of pronunciation dictionaries: machine learning factors during bootstrapping UR - http://hdl.handle.net/10204/5502 ER - en_ZA


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