{"id":"https://openalex.org/W2124470186","doi":"https://doi.org/10.1109/nlpke.2009.5313747","title":"An N-gram based Chinese syllable evaluation approach for speech recognition error detection","display_name":"An N-gram based Chinese syllable evaluation approach for speech recognition error detection","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2124470186","doi":"https://doi.org/10.1109/nlpke.2009.5313747","mag":"2124470186"},"language":"en","primary_location":{"id":"doi:10.1109/nlpke.2009.5313747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2009.5313747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Conference on Natural Language Processing and Knowledge Engineering","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/A5100694633","display_name":"Xingjian Wang","orcid":"https://orcid.org/0000-0003-0506-1833"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingjian Wang","raw_affiliation_strings":["Center of Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China","Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"Center of Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100440407","display_name":"Lei Li","orcid":"https://orcid.org/0000-0003-3095-9776"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Li","raw_affiliation_strings":["Center of Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China","Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"Center of Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100694633"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.4362,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73651213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9955999851226807,"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":0.9843999743461609,"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/bigram","display_name":"Bigram","score":0.9274684190750122},{"id":"https://openalex.org/keywords/trigram","display_name":"Trigram","score":0.8758199214935303},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.8299112319946289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7641024589538574},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.7546982169151306},{"id":"https://openalex.org/keywords/n-gram","display_name":"n-gram","score":0.7222405076026917},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6018838286399841},{"id":"https://openalex.org/keywords/syllable","display_name":"Syllable","score":0.5994690656661987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4933566153049469},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.48098647594451904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4277372658252716},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16126567125320435},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.14625325798988342}],"concepts":[{"id":"https://openalex.org/C108757681","wikidata":"https://www.wikidata.org/wiki/Q2773912","display_name":"Bigram","level":3,"score":0.9274684190750122},{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"score":0.8758199214935303},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.8299112319946289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7641024589538574},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.7546982169151306},{"id":"https://openalex.org/C117884012","wikidata":"https://www.wikidata.org/wiki/Q94489","display_name":"n-gram","level":3,"score":0.7222405076026917},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6018838286399841},{"id":"https://openalex.org/C109089402","wikidata":"https://www.wikidata.org/wiki/Q8188","display_name":"Syllable","level":2,"score":0.5994690656661987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4933566153049469},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.48098647594451904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4277372658252716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16126567125320435},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.14625325798988342},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nlpke.2009.5313747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2009.5313747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Conference on Natural Language Processing and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W22246969","https://openalex.org/W64654948","https://openalex.org/W1571931074","https://openalex.org/W1977021391","https://openalex.org/W1996545497","https://openalex.org/W2030019187","https://openalex.org/W2057900969","https://openalex.org/W2120872477","https://openalex.org/W2120874923","https://openalex.org/W2123514552","https://openalex.org/W2128967750","https://openalex.org/W2144226312","https://openalex.org/W2160177674","https://openalex.org/W2163225888","https://openalex.org/W2358723637","https://openalex.org/W2381298470","https://openalex.org/W4233755233","https://openalex.org/W6600912553","https://openalex.org/W6678279516","https://openalex.org/W6681468851","https://openalex.org/W6683768937"],"related_works":["https://openalex.org/W2940857995","https://openalex.org/W2250909759","https://openalex.org/W4327499987","https://openalex.org/W2917105722","https://openalex.org/W2164394510","https://openalex.org/W2463816369","https://openalex.org/W2950765678","https://openalex.org/W7593531","https://openalex.org/W4288374102","https://openalex.org/W2124470186"],"abstract_inverted_index":{"In":[0,34],"order":[1],"to":[2,12,27,62],"find":[3],"errors":[4],"and":[5,38],"correct":[6],"words":[7],"after":[8],"Chinese":[9,32],"speech":[10],"recognition":[11],"improve":[13],"its":[14],"accuracy":[15],"rate,":[16],"an":[17],"N-gram":[18],"based":[19],"phonetic":[20],"syllable":[21],"evaluation":[22],"approach":[23],"is":[24],"proposed":[25],"according":[26],"the":[28],"conjunction":[29],"rules":[30],"in":[31],"syllables.":[33],"this":[35],"paper,":[36],"Bigram":[37],"Trigram":[39],"model":[40],"are":[41],"used":[42],"with":[43],"two":[44],"kinds":[45],"of":[46],"smoothing":[47],"methods":[48],"for":[49,64,73],"comparison.":[50],"Evaluation":[51],"results":[52],"show":[53],"that":[54],"it":[55],"can":[56,68],"achieve":[57],"a":[58],"precision":[59],"rate":[60],"up":[61],"72.44%":[63],"error":[65,74],"detection,":[66],"which":[67],"provide":[69],"more":[70],"reliable":[71],"target":[72],"correction.":[75]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
