{"id":"https://openalex.org/W290344559","doi":"https://doi.org/10.21437/interspeech.2010-280","title":"Automatic derivation of phonological rules for mispronunciation detection in a computer-assisted pronunciation training system","display_name":"Automatic derivation of phonological rules for mispronunciation detection in a computer-assisted pronunciation training system","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W290344559","doi":"https://doi.org/10.21437/interspeech.2010-280","mag":"290344559"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2010-280","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111646360","display_name":"Wai Kit Lo","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Wai-Kit Lo","raw_affiliation_strings":["Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103455383","display_name":"Shuang Zhang","orcid":"https://orcid.org/0009-0006-7038-2034"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shuang Zhang","raw_affiliation_strings":["Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019458385","display_name":"Helen Meng","orcid":"https://orcid.org/0000-0002-4427-3532"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Helen Meng","raw_affiliation_strings":["Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111646360"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":5.1095,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.94986255,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"765","last_page":"768"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pronunciation","display_name":"Pronunciation","score":0.9025495052337646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7914082407951355},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5461675524711609},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5239344239234924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4850710928440094},{"id":"https://openalex.org/keywords/phonological-rule","display_name":"Phonological rule","score":0.46933144330978394},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40830764174461365},{"id":"https://openalex.org/keywords/phonology","display_name":"Phonology","score":0.20672133564949036},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1362130343914032}],"concepts":[{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.9025495052337646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7914082407951355},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5461675524711609},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5239344239234924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4850710928440094},{"id":"https://openalex.org/C151670969","wikidata":"https://www.wikidata.org/wiki/Q7187303","display_name":"Phonological rule","level":3,"score":0.46933144330978394},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40830764174461365},{"id":"https://openalex.org/C148934300","wikidata":"https://www.wikidata.org/wiki/Q40998","display_name":"Phonology","level":2,"score":0.20672133564949036},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1362130343914032},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2010-280","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.309.1379","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.1379","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www1.se.cuhk.edu.hk/~hccl/publications/pub/Lo_INTERSPEECH2010_20100710.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W21911835","https://openalex.org/W275138538","https://openalex.org/W2137268753","https://openalex.org/W2400818677","https://openalex.org/W2800866707"],"related_works":["https://openalex.org/W2375756441","https://openalex.org/W1990362134","https://openalex.org/W2789919619","https://openalex.org/W4223932119","https://openalex.org/W2293457016","https://openalex.org/W2384728334","https://openalex.org/W2015720298","https://openalex.org/W2547369883","https://openalex.org/W2804203677","https://openalex.org/W2124878473"],"abstract_inverted_index":{"Computer-Assisted":[0],"Pronunciation":[1],"Training":[2],"System":[3],"(CAPT)":[4],"has":[5],"become":[6],"an":[7,40,57,88],"important":[8],"learning":[9,149],"aid":[10],"in":[11,113,130],"second":[12],"language":[13,30,148],"(L2)":[14],"learning.":[15],"Our":[16],"approach":[17,41],"to":[18,28,55,99],"CAPT":[19],"is":[20,77,111,120,138],"based":[21],"on":[22],"the":[23,64,72,101,136],"use":[24],"of":[25,45,67],"phonological":[26,46,144],"rules":[27,47,52,104,125],"capture":[29],"transfer":[31],"effects":[32],"that":[33,62,92],"may":[34],"cause":[35],"mispronunciations.":[36,74],"This":[37],"paper":[38],"presents":[39],"for":[42,83],"automatic":[43,80],"derivation":[44],"from":[48,95],"L2":[49,89],"speech.":[50],"The":[51,75,122],"are":[53],"used":[54,78],"generate":[56],"extended":[58],"recognition":[59,82],"network":[60],"(ERN)":[61],"captures":[63],"canonical":[65],"pronunciations":[66],"words,":[68],"as":[69,71],"well":[70],"possible":[73],"ERN":[76],"with":[79,87,105],"speech":[81,90],"mispronunciation":[84,114,146],"detection.":[85],"Experimentation":[86],"corpus":[91],"contains":[93],"recordings":[94],"100":[96],"speakers":[97],"aims":[98],"compare":[100],"automatically":[102,123],"derived":[103,124],"manually":[106],"authored":[107],"rules.":[108],"Comparable":[109],"performance":[110,129],"achieved":[112],"detection":[115],"(i.e.":[116,133],"telling":[117],"which":[118],"phone":[119,137],"wrong).":[121,139],"also":[126],"offer":[127],"improved":[128],"diagnostic":[131],"accuracy":[132],"identify":[134],"how":[135],"Index":[140],"Terms:":[141],"pronunciation":[142],"training,":[143],"rules,":[145],"detection,":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}