{"id":"https://openalex.org/W2095397048","doi":"https://doi.org/10.1109/iucs.2010.5666652","title":"Kana-to-kanji conversion method using Markov chain model of words in bunsetsu","display_name":"Kana-to-kanji conversion method using Markov chain model of words in bunsetsu","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2095397048","doi":"https://doi.org/10.1109/iucs.2010.5666652","mag":"2095397048"},"language":"en","primary_location":{"id":"doi:10.1109/iucs.2010.5666652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iucs.2010.5666652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 4th International Universal Communication Symposium","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/A5041021167","display_name":"Shozo Kato","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108050","display_name":"Fukui National College of Technology","ror":"https://ror.org/01n09qc98","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210108050"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shozo Kato","raw_affiliation_strings":["Department of Electronics & Information Engineering, Fukui National College of Technology, Sabae, Fukui, Japan","Dept. of Electronics & Information Engineering, Fukui National College of Technology, Sabae-shi, Fukui-ken, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics & Information Engineering, Fukui National College of Technology, Sabae, Fukui, Japan","institution_ids":["https://openalex.org/I4210108050"]},{"raw_affiliation_string":"Dept. of Electronics & Information Engineering, Fukui National College of Technology, Sabae-shi, Fukui-ken, Japan","institution_ids":["https://openalex.org/I4210108050"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008515102","display_name":"Chikahiro Araki","orcid":null},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chikahiro Araki","raw_affiliation_strings":["Department of Human and Artificial Intelligence, University of Fukui, Fukui, Japan","Dept. of Human and Artificial Intelligence, University of Fukui, Fukui-shi, Fukui-ken, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Human and Artificial Intelligence, University of Fukui, Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]},{"raw_affiliation_string":"Dept. of Human and Artificial Intelligence, University of Fukui, Fukui-shi, Fukui-ken, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111874527","display_name":"Shin-ichiro Hashimukai","orcid":null},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinichiro Hashimukai","raw_affiliation_strings":["Department of Human and Artificial Intelligence, University of Fukui, Fukui, Japan","Dept. of Human and Artificial Intelligence, University of Fukui, Fukui-shi, Fukui-ken, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Human and Artificial Intelligence, University of Fukui, Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]},{"raw_affiliation_string":"Dept. of Human and Artificial Intelligence, University of Fukui, Fukui-shi, Fukui-ken, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089616766","display_name":"Yasuhiro Ogoshi","orcid":null},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuhiro Ogoshi","raw_affiliation_strings":["Department of Human and Artificial Intelligence, University of Fukui, Fukui, Japan","Dept. of Human and Artificial Intelligence, University of Fukui, Fukui-shi, Fukui-ken, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Human and Artificial Intelligence, University of Fukui, Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]},{"raw_affiliation_string":"Dept. of Human and Artificial Intelligence, University of Fukui, Fukui-shi, Fukui-ken, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102425501","display_name":"Mikio Mori","orcid":null},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mikio Mori","raw_affiliation_strings":["Department of Information Science, University of Fukui, Fukui, Japan","Dept. of Information Science, University of Fukui, Fukui-shi, Fukui-ken, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science, University of Fukui, Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]},{"raw_affiliation_string":"Dept. of Information Science, University of Fukui, Fukui-shi, Fukui-ken, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110767572","display_name":"Shuji Taniguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuji Taniguchi","raw_affiliation_strings":["Department of Information Science, University of Fukui, Fukui, Japan","Dept. of Information Science, University of Fukui, Fukui-shi, Fukui-ken, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science, University of Fukui, Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]},{"raw_affiliation_string":"Dept. of Information Science, University of Fukui, Fukui-shi, Fukui-ken, Japan","institution_ids":["https://openalex.org/I111966504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2725,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5289616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27","issue":null,"first_page":"154","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9886000156402588,"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":0.9886000156402588,"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":0.923799991607666,"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/kana","display_name":"Kana","score":0.9970746040344238},{"id":"https://openalex.org/keywords/kanji","display_name":"Kanji","score":0.9719035625457764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6913278698921204},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6711704730987549},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6678897142410278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.603312075138092},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5844902992248535},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5320758819580078},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4912375807762146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20746460556983948},{"id":"https://openalex.org/keywords/chinese-characters","display_name":"Chinese characters","score":0.10781818628311157}],"concepts":[{"id":"https://openalex.org/C158885319","wikidata":"https://www.wikidata.org/wiki/Q187659","display_name":"Kana","level":4,"score":0.9970746040344238},{"id":"https://openalex.org/C83535845","wikidata":"https://www.wikidata.org/wiki/Q82772","display_name":"Kanji","level":3,"score":0.9719035625457764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913278698921204},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6711704730987549},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6678897142410278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.603312075138092},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5844902992248535},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5320758819580078},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4912375807762146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20746460556983948},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.10781818628311157},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iucs.2010.5666652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iucs.2010.5666652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 4th International Universal Communication Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1997644175","https://openalex.org/W2033818521","https://openalex.org/W2142384583","https://openalex.org/W2336634055","https://openalex.org/W2562733867","https://openalex.org/W4285719527","https://openalex.org/W6703539634","https://openalex.org/W6730626333"],"related_works":["https://openalex.org/W579363986","https://openalex.org/W1490619519","https://openalex.org/W56390667","https://openalex.org/W602395646","https://openalex.org/W2005219188","https://openalex.org/W173710554","https://openalex.org/W3046887381","https://openalex.org/W2295229969","https://openalex.org/W2108724349","https://openalex.org/W1533639946"],"abstract_inverted_index":{"We":[0],"previously":[1],"proposed":[2,104,173,180],"a":[3,89],"kana-to-kanji":[4,91,220],"conversion":[5,30,92,215,221],"method":[6,93,105,174,181],"of":[7,16,42,51,55,67,76,80,110,118,128,141,155,167,189,198,222],"non-segmented":[8,223],"kana":[9,111,119,129,136,224],"sentences":[10],"by":[11,31,94,123,150,163,186],"using":[12,95,124,151,164],"Markov":[13,52,77,97,125,152],"chain":[14,53,78,98,126,153],"model":[15,127,154],"words":[17,56,81,130,137,157],"in":[18,48,57,73,82,113,121,131,158,210,219],"sentence.":[19,58],"However,":[20],"we":[21,60,87],"could":[22],"not":[23,46],"obtain":[24],"the":[25,39,43,49,64,68,74,102,108,116,139,146,161,171,178,187,190,196,199,211],"enough":[26],"accuracy":[27,191,212],"rate":[28,192,213],"for":[29,193,214],"this":[32,85,96],"method.":[33],"The":[34],"cause":[35],"is":[36,45,70,202,206,217],"considered":[37],"that":[38,63,204],"total":[40,65],"number":[41,66],"rules":[44,69],"saturated":[47,72],"dictionary":[50,75],"probabilities":[54,79],"Therefore,":[59],"take":[61],"notice":[62],"almost":[71],"bunsetsu.":[83,159],"In":[84],"paper,":[86],"propose":[88],"new":[90,103,179],"model.":[99],"That":[100],"is,":[101],"detects":[106],"simultaneously":[107],"boundaries":[109,117],"bunsetsu":[112,122],"sentence":[114],"and":[115,133,144,177,216],"word":[120,143],"bunsetsu,":[132],"then":[134],"converts":[135],"to":[138,208],"candidates":[140],"kanji-kana":[142,156],"selects":[145],"maximum":[147],"likely":[148],"candidate":[149],"Through":[160],"experiments":[162],"statistical":[165],"data":[166],"daily":[168],"Japanese":[169],"newspaper,":[170],"previous":[172],"(called":[175,182],"Method-B1)":[176],"Method-B2)":[183],"are":[184],"evaluated":[185],"criteria":[188],"conversion.":[194],"From":[195],"results":[197],"experiments,":[200],"it":[201],"concluded":[203],"Method-B2":[205],"superior":[207],"Method-B1":[209],"effective":[218],"sentences.":[225]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
