Davel, MHDe Wet, Febe2010-12-212010-12-212010-09Davel, MH and De Wet, F. 2010. Verifying pronunciation dictionaries using conflict analysis. Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH 2010), Makuhari, Japan, 26-30 September 2010, pp 1898-1901http://hdl.handle.net/10204/4693Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH 2010), Makuhari, Japan, 26-30 September 2010The authors describe a new language-independent technique for automatically identifying errors in an electronic pronunciation dictionary by analyzing the source of conflicting patterns directly.They evaluate the effectiveness of the technique in two ways: they perform a controlled experiment using artificially corrupted data (allowing us to measure precision and recall exactly); and then apply the technique to a real-world pronunciation dictionary, demonstrating its effectiveness in practice. They also introduce a new freely available pronunciation resource (the RCRL Afrikaans Pronunciation Dictionary), the largest such dictionary that currently exists.enPronunciation dictionariesError detectionQuality verificationGrapheme-to-phonemSpeech communicationInterspeech 2010Verifying pronunciation dictionaries using conflict analysisConference PresentationDavel, M., & De Wet, F. (2010). Verifying pronunciation dictionaries using conflict analysis. http://hdl.handle.net/10204/4693Davel, MH, and Febe De Wet. "Verifying pronunciation dictionaries using conflict analysis." (2010): http://hdl.handle.net/10204/4693Davel M, De Wet F, Verifying pronunciation dictionaries using conflict analysis; 2010. http://hdl.handle.net/10204/4693 .TY - Conference Presentation AU - Davel, MH AU - De Wet, Febe AB - The authors describe a new language-independent technique for automatically identifying errors in an electronic pronunciation dictionary by analyzing the source of conflicting patterns directly.They evaluate the effectiveness of the technique in two ways: they perform a controlled experiment using artificially corrupted data (allowing us to measure precision and recall exactly); and then apply the technique to a real-world pronunciation dictionary, demonstrating its effectiveness in practice. They also introduce a new freely available pronunciation resource (the RCRL Afrikaans Pronunciation Dictionary), the largest such dictionary that currently exists. DA - 2010-09 DB - ResearchSpace DP - CSIR KW - Pronunciation dictionaries KW - Error detection KW - Quality verification KW - Grapheme-to-phonem KW - Speech communication KW - Interspeech 2010 LK - https://researchspace.csir.co.za PY - 2010 T1 - Verifying pronunciation dictionaries using conflict analysis TI - Verifying pronunciation dictionaries using conflict analysis UR - http://hdl.handle.net/10204/4693 ER -