{"id":"https://openalex.org/W2983735660","doi":"https://doi.org/10.18653/v1/d19-5522","title":"FASPell: A Fast, Adaptable, Simple, Powerful Chinese Spell Checker Based On DAE-Decoder Paradigm","display_name":"FASPell: A Fast, Adaptable, Simple, Powerful Chinese Spell Checker Based On DAE-Decoder Paradigm","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2983735660","doi":"https://doi.org/10.18653/v1/d19-5522","mag":"2983735660"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-5522","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5522","pdf_url":"https://www.aclweb.org/anthology/D19-5522.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-5522.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010955583","display_name":"Yuzhong Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132883","display_name":"IQ Samh\u00e4llsbyggnad","ror":"https://ror.org/03knfbb08","country_code":"SE","type":"other","lineage":["https://openalex.org/I4210132883"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Yuzhong Hong","raw_affiliation_strings":["Intelligent Platform Division, iQIYI, Inc"],"affiliations":[{"raw_affiliation_string":"Intelligent Platform Division, iQIYI, Inc","institution_ids":["https://openalex.org/I4210132883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027153506","display_name":"Xianguo Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132883","display_name":"IQ Samh\u00e4llsbyggnad","ror":"https://ror.org/03knfbb08","country_code":"SE","type":"other","lineage":["https://openalex.org/I4210132883"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Xianguo Yu","raw_affiliation_strings":["Intelligent Platform Division, iQIYI, Inc"],"affiliations":[{"raw_affiliation_string":"Intelligent Platform Division, iQIYI, Inc","institution_ids":["https://openalex.org/I4210132883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062254831","display_name":"Neng He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132883","display_name":"IQ Samh\u00e4llsbyggnad","ror":"https://ror.org/03knfbb08","country_code":"SE","type":"other","lineage":["https://openalex.org/I4210132883"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Neng He","raw_affiliation_strings":["Intelligent Platform Division, iQIYI, Inc"],"affiliations":[{"raw_affiliation_string":"Intelligent Platform Division, iQIYI, Inc","institution_ids":["https://openalex.org/I4210132883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367540","display_name":"Nan Liu","orcid":"https://orcid.org/0000-0002-6060-9665"},"institutions":[{"id":"https://openalex.org/I4210132883","display_name":"IQ Samh\u00e4llsbyggnad","ror":"https://ror.org/03knfbb08","country_code":"SE","type":"other","lineage":["https://openalex.org/I4210132883"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Nan Liu","raw_affiliation_strings":["Intelligent Platform Division, iQIYI, Inc"],"affiliations":[{"raw_affiliation_string":"Intelligent Platform Division, iQIYI, Inc","institution_ids":["https://openalex.org/I4210132883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100640524","display_name":"Junhui Liu","orcid":"https://orcid.org/0000-0003-2259-2273"},"institutions":[{"id":"https://openalex.org/I4210132883","display_name":"IQ Samh\u00e4llsbyggnad","ror":"https://ror.org/03knfbb08","country_code":"SE","type":"other","lineage":["https://openalex.org/I4210132883"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Junhui Liu","raw_affiliation_strings":["Intelligent Platform Division, iQIYI, Inc"],"affiliations":[{"raw_affiliation_string":"Intelligent Platform Division, iQIYI, Inc","institution_ids":["https://openalex.org/I4210132883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5010955583"],"corresponding_institution_ids":["https://openalex.org/I4210132883"],"apc_list":null,"apc_paid":null,"fwci":7.9478,"has_fulltext":true,"cited_by_count":121,"citation_normalized_percentile":{"value":0.97895148,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"160","last_page":"169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":1.0,"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":0.9995999932289124,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.837677001953125},{"id":"https://openalex.org/keywords/spell","display_name":"Spell","score":0.7031023502349854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5417938232421875},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5377640128135681},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5064529180526733},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4528055191040039},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4273773431777954},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3510696589946747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.837677001953125},{"id":"https://openalex.org/C2780957641","wikidata":"https://www.wikidata.org/wiki/Q1999796","display_name":"Spell","level":2,"score":0.7031023502349854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5417938232421875},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5377640128135681},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5064529180526733},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4528055191040039},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4273773431777954},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3510696589946747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-5522","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5522","pdf_url":"https://www.aclweb.org/anthology/D19-5522.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-5522","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-5522","pdf_url":"https://www.aclweb.org/anthology/D19-5522.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322638","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2983735660.pdf","grobid_xml":"https://content.openalex.org/works/W2983735660.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W99399284","https://openalex.org/W1495461096","https://openalex.org/W2025768430","https://openalex.org/W2028509346","https://openalex.org/W2131058166","https://openalex.org/W2194187530","https://openalex.org/W2250440945","https://openalex.org/W2250444785","https://openalex.org/W2250990886","https://openalex.org/W2251157340","https://openalex.org/W2251568283","https://openalex.org/W2251873470","https://openalex.org/W2252231918","https://openalex.org/W2493109812","https://openalex.org/W2601201959","https://openalex.org/W2785643982","https://openalex.org/W2892311186","https://openalex.org/W2896457183","https://openalex.org/W2944815030","https://openalex.org/W2952468927","https://openalex.org/W2963341956","https://openalex.org/W2970597249"],"related_works":["https://openalex.org/W4287256643","https://openalex.org/W2745258745","https://openalex.org/W4296626305","https://openalex.org/W4254978807","https://openalex.org/W4307454463","https://openalex.org/W4287201819","https://openalex.org/W4230790962","https://openalex.org/W2808324063","https://openalex.org/W4309130263","https://openalex.org/W1951490636"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,9,15,20],"Chinese":[3,47,92,143],"spell":[4,33,93],"checker":[5,34],"-FASPell":[6],"based":[7],"on":[8],"new":[10,29,80],"paradigm":[11,30,81],"which":[12],"consists":[13],"of":[14,91,107,127,137,142],"denoising":[16],"autoencoder":[17],"(DAE)":[18],"and":[19,45,55,70,135],"decoder.":[21],"In":[22],"comparison":[23],"with":[24],"previous":[25],"stateof-the-art":[26],"models,":[27],"the":[28,79,86,89,105,120,125,139],"allows":[31],"our":[32],"to":[35,42,56,61,123],"be":[36,62],"Faster":[37],"in":[38,66,114,133],"computation,":[39],"readily":[40],"Adaptable":[41],"both":[43,67],"simplified":[44],"traditional":[46],"texts":[48],"produced":[49],"by":[50,103],"either":[51],"humans":[52],"or":[53],"machines,":[54],"require":[57],"much":[58,64],"Simpler":[59],"structure":[60],"as":[63,113],"Powerful":[65],"error":[68],"detection":[69],"correction.":[71],"These":[72],"four":[73],"achievements":[74],"are":[75],"made":[76],"possible":[77],"because":[78],"circumvents":[82],"two":[83],"bottlenecks.":[84],"First,":[85],"DAE":[87],"curtails":[88],"amount":[90],"checking":[94],"data":[95],"needed":[96],"for":[97],"supervised":[98],"learning":[99],"(to":[100],"<10k":[101],"sentences)":[102],"leveraging":[104],"power":[106],"unsupervisedly":[108],"pre-trained":[109],"masked":[110],"language":[111],"model":[112],"BERT,":[115],"XLNet,":[116],"MASS":[117],"etc.":[118],"Second,":[119],"decoder":[121],"helps":[122],"eliminate":[124],"use":[126],"confusion":[128],"set":[129],"that":[130],"is":[131],"deficient":[132],"flexibility":[134],"sufficiency":[136],"utilizing":[138],"salient":[140],"feature":[141],"character":[144],"similarity.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":7}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}