{"id":"https://openalex.org/W2060380454","doi":"https://doi.org/10.1109/icdar.2013.72","title":"Extraction of Spelling Variations from Language Structure for Noisy Text Correction","display_name":"Extraction of Spelling Variations from Language Structure for Noisy Text Correction","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2060380454","doi":"https://doi.org/10.1109/icdar.2013.72","mag":"2060380454"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2013.72","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5006721962","display_name":"Stefan Gerdjikov","orcid":null},"institutions":[{"id":"https://openalex.org/I58918642","display_name":"Sofia University \"St. Kliment Ohridski\"","ror":"https://ror.org/02jv3k292","country_code":"BG","type":"education","lineage":["https://openalex.org/I58918642"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Stefan Gerdjikov","raw_affiliation_strings":["Fac. of Math. & Inf., Sofia Univ., Sofia, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Fac. of Math. & Inf., Sofia Univ., Sofia, Bulgaria","institution_ids":["https://openalex.org/I58918642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114255303","display_name":"Stoyan Mihov","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163063","display_name":"Institute of Information and Communication Technologies","ror":"https://ror.org/05fpsjc82","country_code":"BG","type":"facility","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210163063"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Stoyan Mihov","raw_affiliation_strings":["IICT, Sofia, Bulgaria"],"affiliations":[{"raw_affiliation_string":"IICT, Sofia, Bulgaria","institution_ids":["https://openalex.org/I4210163063"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032442070","display_name":"Vladislav Nenchev","orcid":"https://orcid.org/0000-0002-9261-2746"},"institutions":[{"id":"https://openalex.org/I58918642","display_name":"Sofia University \"St. Kliment Ohridski\"","ror":"https://ror.org/02jv3k292","country_code":"BG","type":"education","lineage":["https://openalex.org/I58918642"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Vladislav Nenchev","raw_affiliation_strings":["Fac. of Math. & Inf., Sofia Univ., Sofia, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Fac. of Math. & Inf., Sofia Univ., Sofia, Bulgaria","institution_ids":["https://openalex.org/I58918642"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.804,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":6,"citation_normalized_percentile":{"value":0.547899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":81,"max":83},"biblio":{"volume":null,"issue":null,"first_page":"324","last_page":"328"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9999,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9999,"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/T10028","display_name":"Topic Modeling","score":0.9964,"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/T11269","display_name":"Algorithms and Data Compression","score":0.994,"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/spelling","display_name":"Spelling","score":0.89473325},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.614516}],"concepts":[{"id":"https://openalex.org/C2777801307","wikidata":"https://www.wikidata.org/wiki/Q2088390","display_name":"Spelling","level":2,"score":0.89473325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83246225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7023393},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.70217615},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.614516},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5802803},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5799276},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.54122674},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3960805},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.16604665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09744823},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0683493},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2013.72","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.85,"display_name":"Quality education","id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":16,"referenced_works":["https://openalex.org/W1507532937","https://openalex.org/W1524613437","https://openalex.org/W1602181184","https://openalex.org/W1647671624","https://openalex.org/W1981031568","https://openalex.org/W1989138986","https://openalex.org/W200927961","https://openalex.org/W2030839740","https://openalex.org/W2057900969","https://openalex.org/W2059513841","https://openalex.org/W2099964107","https://openalex.org/W2102443632","https://openalex.org/W2123114891","https://openalex.org/W2144226312","https://openalex.org/W2150429754","https://openalex.org/W2168129207"],"related_works":["https://openalex.org/W611030372","https://openalex.org/W4298186509","https://openalex.org/W2556702969","https://openalex.org/W217221262","https://openalex.org/W2161008081","https://openalex.org/W2100947578","https://openalex.org/W2081317458","https://openalex.org/W2021532426","https://openalex.org/W1974418053","https://openalex.org/W1555832326"],"abstract_inverted_index":{"We":[0,124],"describe":[1],"a":[2,12,33,38,53,58,67,106],"novel":[3],"approach":[4,76],"for":[5,66,83],"the":[6,48,84,97,103,137,140],"extraction":[7],"of":[8,14,23,35,74,102,105,110,121,139],"spelling":[9,49],"variations":[10,50],"from":[11,32],"list":[13],"instances.":[15],"It":[16],"relates":[17],"distinctive":[18,21,27],"infixes":[19,22,28],"to":[20],"referenced":[24,39],"words.":[25],"The":[26,71],"are":[29],"extracted":[30],"automatically":[31],"(multi)set":[34],"instances":[36],"and":[37,63,134],"dictionary":[40],"without":[41],"any":[42],"additional":[43],"expert":[44],"knowledge.":[45],"Based":[46],"on":[47,93,136],"retrieved":[51],"during":[52,96],"learning(training)":[54],"phase":[55],"we":[56],"develop":[57],"correction":[59],"algorithm":[60],"which":[61],"suggests":[62],"ranks":[64],"candidates":[65],"particular":[68],"noisy":[69,86],"word.":[70],"main":[72],"advantage":[73],"our":[75],"is":[77,90],"that":[78],"it":[79,89],"provides":[80],"good":[81],"corrections":[82],"unobserved":[85],"words":[87,94],"while":[88],"almost":[91],"perfect":[92],"observed":[95],"learning.":[98],"Our":[99],"experimental":[100],"results":[101,120,128],"normalisation":[104],"typical":[107],"reference":[108],"corpus":[109],"Early":[111],"Modern":[112],"English":[113],"letters,":[114],"[1],":[115],"significantly":[116],"improve":[117],"over":[118],"previous":[119],"VARD2,":[122],"[2].":[123],"also":[125],"achieve":[126],"better":[127],"than":[129],"those":[130],"reported":[131],"in":[132],"[3]":[133],"[4]":[135],"OCR-correction":[138],"TREC-5":[141],"Confusion":[142],"Track":[143],"corpus,[5].":[144]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2060380454","counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-02-24T05:38:46.133274","created_date":"2016-06-24"}