{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:18:04Z","timestamp":1750306684612,"version":"3.41.0"},"reference-count":31,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2014,12,19]],"date-time":"2014-12-19T00:00:00Z","timestamp":1418947200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["10035252"],"award-info":[{"award-number":["10035252"]}],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003662","name":"Korea Evaluation Institute of Industrial Technology","doi-asserted-by":"publisher","award":["10035252"],"award-info":[{"award-number":["10035252"]}],"id":[{"id":"10.13039\/501100003662","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Transactions on Asian Language Information Processing"],"published-print":{"date-parts":[[2014,12,19]]},"abstract":"<jats:p>This article presents an approach to nonnative pronunciation variants modeling and prediction. The pronunciation variants prediction method was developed by generalized transformation-based error-driven learning (GTBL). The modified goodness of pronunciation (GOP) score was applied to effective mispronunciation detection using logistic regression machine learning under the pronunciation variants prediction. English-read speech data uttered by Korean-speaking learners of English were collected, then pronunciation variation knowledge was extracted from the differences between the canonical phonemes and the actual phonemes of the speech data. With this knowledge, an error-driven learning approach was designed that automatically learns phoneme variation rules from phoneme-level transcriptions. The learned rules generate an extended recognition network to detect mispronunciations. Three different mispronunciation detection methods were tested including our logistic regression machine learning method with modified GOP scores and mispronunciation preference features; all three methods yielded significant improvement in predictions of pronunciation variants, and our logistic regression method showed the best performance.<\/jats:p>","DOI":"10.1145\/2629545","type":"journal-article","created":{"date-parts":[[2014,12,22]],"date-time":"2014-12-22T13:53:23Z","timestamp":1419256403000},"page":"1-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Pronunciation Variants Prediction Method to Detect Mispronunciations by Korean Learners of English"],"prefix":"10.1145","volume":"13","author":[{"given":"Jeesoo","family":"Bang","sequence":"first","affiliation":[{"name":"Pohang University of Science and Technology"}]},{"given":"Jonghoon","family":"Lee","sequence":"additional","affiliation":[{"name":"Pohang University of Science and Technology"}]},{"given":"Gary Geunbae","family":"Lee","sequence":"additional","affiliation":[{"name":"Pohang University of Science and Technology"}]},{"given":"Minhwa","family":"Chung","sequence":"additional","affiliation":[{"name":"Seoul National University"}]}],"member":"320","published-online":{"date-parts":[[2014,12,19]]},"reference":[{"volume-title":"Proceedings of the 9th European Conference on Speech Communication and Technology.","author":"Bouselmi G.","key":"e_1_2_1_1_1"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/218355.218367"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/972470.972474"},{"volume-title":"Proceedings of the 7th West Coast Conference on Formal Linguistics.","year":"1988","author":"Cho Y.-M.","key":"e_1_2_1_4_1"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2003.09.003"},{"volume-title":"Proceedings of the European Conference on Speech Communication and Technology.","author":"Goronzy S.","key":"e_1_2_1_6_1"},{"volume-title":"Proceedings of the Conference of the International Speech Communication Association.","author":"Harrison A. 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