{"id":"https://openalex.org/W3011960022","doi":"https://doi.org/10.1109/ialp48816.2019.9037699","title":"Japanese Particle Error Correction employing Classification Model","display_name":"Japanese Particle Error Correction employing Classification Model","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3011960022","doi":"https://doi.org/10.1109/ialp48816.2019.9037699","mag":"3011960022"},"language":"en","primary_location":{"id":"doi:10.1109/ialp48816.2019.9037699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp48816.2019.9037699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5089120004","display_name":"Youichiro Ogawa","orcid":null},"institutions":[{"id":"https://openalex.org/I119806805","display_name":"Nagaoka University","ror":"https://ror.org/02rcadd38","country_code":"JP","type":"education","lineage":["https://openalex.org/I119806805"]},{"id":"https://openalex.org/I85922643","display_name":"Nagaoka University of Technology","ror":"https://ror.org/00ys1hz88","country_code":"JP","type":"education","lineage":["https://openalex.org/I85922643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Youichiro Ogawa","raw_affiliation_strings":["Nagaoka University of Technology, Nagaoka, Niigata, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagaoka University of Technology, Nagaoka, Niigata, Japan","institution_ids":["https://openalex.org/I119806805","https://openalex.org/I85922643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109500211","display_name":"Kazuhide Yamamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I119806805","display_name":"Nagaoka University","ror":"https://ror.org/02rcadd38","country_code":"JP","type":"education","lineage":["https://openalex.org/I119806805"]},{"id":"https://openalex.org/I85922643","display_name":"Nagaoka University of Technology","ror":"https://ror.org/00ys1hz88","country_code":"JP","type":"education","lineage":["https://openalex.org/I85922643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhide Yamamoto","raw_affiliation_strings":["Nagaoka University of Technology, Nagaoka, Niigata, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagaoka University of Technology, Nagaoka, Niigata, Japan","institution_ids":["https://openalex.org/I119806805","https://openalex.org/I85922643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.20882346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"23","last_page":"28"},"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":0.9994000196456909,"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/T13629","display_name":"Text Readability and Simplification","score":0.9940000176429749,"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/confusion","display_name":"Confusion","score":0.6727088689804077},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6347042918205261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6221455335617065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5293493866920471},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5223430395126343},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.49835896492004395},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.494989812374115},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.47200629115104675},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.46412041783332825},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.4360891282558441},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2757568955421448},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22000595927238464},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09184867143630981}],"concepts":[{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.6727088689804077},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6347042918205261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6221455335617065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5293493866920471},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5223430395126343},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.49835896492004395},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.494989812374115},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.47200629115104675},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.46412041783332825},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.4360891282558441},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2757568955421448},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22000595927238464},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09184867143630981},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp48816.2019.9037699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp48816.2019.9037699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8399999737739563,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W2095705004","https://openalex.org/W2127672659","https://openalex.org/W2134800885","https://openalex.org/W2144950812","https://openalex.org/W2153076431","https://openalex.org/W2153579005","https://openalex.org/W2251613956","https://openalex.org/W2251862950","https://openalex.org/W2438300163","https://openalex.org/W2470324779","https://openalex.org/W2515384205","https://openalex.org/W2768283475","https://openalex.org/W2785047343","https://openalex.org/W2791200807","https://openalex.org/W2803237843","https://openalex.org/W2805583812","https://openalex.org/W2809887676","https://openalex.org/W2890230387","https://openalex.org/W2925188774","https://openalex.org/W2963083845","https://openalex.org/W2963881719","https://openalex.org/W2963975242","https://openalex.org/W2964082031","https://openalex.org/W2964187553","https://openalex.org/W2964258094","https://openalex.org/W4294170691","https://openalex.org/W6637242042","https://openalex.org/W6674330103","https://openalex.org/W6679855610","https://openalex.org/W6681661476","https://openalex.org/W6682603194","https://openalex.org/W6682691769","https://openalex.org/W6753171051"],"related_works":["https://openalex.org/W2964976023","https://openalex.org/W1982477181","https://openalex.org/W2403083015","https://openalex.org/W2786391746","https://openalex.org/W4381430104","https://openalex.org/W2995102745","https://openalex.org/W4226059458","https://openalex.org/W2914559142","https://openalex.org/W1990237101","https://openalex.org/W3196471634"],"abstract_inverted_index":{"We":[0,15,77],"present":[1],"a":[2,17,55,72],"grammatical":[3],"error":[4,84],"correction":[5,85],"system":[6],"for":[7,23,81],"Japanese":[8,82],"particles":[9,22],"based":[10],"on":[11,86],"the":[12,21,31,48,79,87,93,101,111,116],"classification":[13],"method.":[14],"define":[16],"confusion":[18],"set":[19],"of":[20,25,30,58,75,103],"detection":[24],"particle":[26,83],"errors":[27],"and":[28,44,62,114],"prediction":[29,117],"correct":[32],"word.":[33],"Our":[34,122],"method":[35],"can":[36],"handle":[37],"not":[38,70],"only":[39],"substitutions":[40],"but":[41],"also":[42],"insertions":[43],"deletions.":[45],"For":[46],"building":[47,110],"training":[49,112],"data,":[50],"we":[51,68,99],"used":[52],"two":[53],"datasets:":[54],"large":[56],"amount":[57],"native":[59],"language":[60],"data":[61,113],"corrected":[63],"learners'":[64],"sentences.":[65],"That":[66],"is,":[67],"did":[69],"require":[71],"parallel":[73],"corpus":[74],"learners.":[76],"show":[78],"results":[80],"NAIST":[88],"Goyo":[89],"corpus,":[90],"evaluated":[91],"by":[92],"MaxMatch":[94],"(M2)":[95],"score.":[96],"In":[97],"addition,":[98],"analyze":[100,115],"effect":[102],"percentage":[104],"changes":[105],"in":[106],"deletion":[107],"labels":[108],"while":[109],"probability":[118],"threshold":[119],"at":[120],"correction.":[121],"best":[123],"model":[124],"achieved":[125],"46.4":[126],"F0.5.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}