{"id":"https://openalex.org/W1975829924","doi":"https://doi.org/10.1017/s1351324997001575","title":"The Japanese lexical transducer based on stem-suffix style forms","display_name":"The Japanese lexical transducer based on stem-suffix style forms","publication_year":1996,"publication_date":"1996-12-01","ids":{"openalex":"https://openalex.org/W1975829924","doi":"https://doi.org/10.1017/s1351324997001575","mag":"1975829924"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324997001575","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":"http://kornai.com/EFS/OnlineSupportMaterial/ECAI/tateno.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032648981","display_name":"Masakazu Tateno","orcid":null},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"MASAKAZU TATENO","raw_affiliation_strings":["Corporate Research Laboratories, Fuji Xerox Company Limited, 430 Sakai, Nakai-machi, Ashigarakami-gun, Kanagawa 259-01, Japan. e-mail: tateno@rsl.crl.fujixerox.co.jp, masuichi@rsl.crl.fujixerox.co ...#TAB#"],"affiliations":[{"raw_affiliation_string":"Corporate Research Laboratories, Fuji Xerox Company Limited, 430 Sakai, Nakai-machi, Ashigarakami-gun, Kanagawa 259-01, Japan. e-mail: tateno@rsl.crl.fujixerox.co.jp, masuichi@rsl.crl.fujixerox.co ...#TAB#","institution_ids":["https://openalex.org/I15009632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013091873","display_name":"Hiroshi Masuichi","orcid":null},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"HIROSHI MASUICHI","raw_affiliation_strings":["Corporate Research Laboratories, Fuji Xerox Company Limited, 430 Sakai, Nakai-machi, Ashigarakami-gun, Kanagawa 259-01, Japan. e-mail: tateno@rsl.crl.fujixerox.co.jp, masuichi@rsl.crl.fujixerox.co ...#TAB#"],"affiliations":[{"raw_affiliation_string":"Corporate Research Laboratories, Fuji Xerox Company Limited, 430 Sakai, Nakai-machi, Ashigarakami-gun, Kanagawa 259-01, Japan. e-mail: tateno@rsl.crl.fujixerox.co.jp, masuichi@rsl.crl.fujixerox.co ...#TAB#","institution_ids":["https://openalex.org/I15009632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034019042","display_name":"Hiroshi Umemoto","orcid":null},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"HIROSHI UMEMOTO","raw_affiliation_strings":["Corporate Research Laboratories, Fuji Xerox Company Limited, 430 Sakai, Nakai-machi, Ashigarakami-gun, Kanagawa 259-01, Japan. e-mail: tateno@rsl.crl.fujixerox.co.jp, masuichi@rsl.crl.fujixerox.co ...#TAB#"],"affiliations":[{"raw_affiliation_string":"Corporate Research Laboratories, Fuji Xerox Company Limited, 430 Sakai, Nakai-machi, Ashigarakami-gun, Kanagawa 259-01, Japan. e-mail: tateno@rsl.crl.fujixerox.co.jp, masuichi@rsl.crl.fujixerox.co ...#TAB#","institution_ids":["https://openalex.org/I15009632"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":1,"citation_normalized_percentile":{"value":0.415062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":54,"max":62},"biblio":{"volume":"2","issue":"4","first_page":"329","last_page":"330"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994,"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":0.9994,"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":0.9917,"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":0.9864,"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/finite-state","display_name":"Finite state","score":0.43490234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.84207934},{"id":"https://openalex.org/C2779804580","wikidata":"https://www.wikidata.org/wiki/Q102047","display_name":"Suffix","level":2,"score":0.733184},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.68475914},{"id":"https://openalex.org/C56318395","wikidata":"https://www.wikidata.org/wiki/Q215928","display_name":"Transducer","level":2,"score":0.5198377},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46849284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4552705},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.44639856},{"id":"https://openalex.org/C2983497884","wikidata":"https://www.wikidata.org/wiki/Q176452","display_name":"Finite state","level":3,"score":0.43490234},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43359452},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.42456576},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3712517},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.21816927},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.20642859},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.15858802},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09325746},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324997001575","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.89.8603","pdf_url":"http://kornai.com/EFS/OnlineSupportMaterial/ECAI/tateno.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.89.8603","pdf_url":"http://kornai.com/EFS/OnlineSupportMaterial/ECAI/tateno.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.55,"display_name":"Quality education"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":2,"referenced_works":["https://openalex.org/W2017364694","https://openalex.org/W2065700902"],"related_works":["https://openalex.org/W4394659737","https://openalex.org/W4311055779","https://openalex.org/W3195005284","https://openalex.org/W2761558751","https://openalex.org/W2500821785","https://openalex.org/W2391730868","https://openalex.org/W2371678724","https://openalex.org/W2140536630","https://openalex.org/W1965229141","https://openalex.org/W1566362083"],"abstract_inverted_index":{"A":[0],"Lexical":[1],"Transducer":[2],"(LT)":[3],"as":[4],"defined":[5],"by":[6,108],"Karttunen,":[7],"Kaplan,":[8],"Zaenen":[9],"1992":[10],"is":[11,34,56],"a":[12,87,123],"specialized":[13],"finite":[14,89],"state":[15,90],"transducer":[16,126],"(FST)":[17],"that":[18],"relates":[19],"citation":[20,99],"forms":[21,100],"of":[22,82,101,110],"words":[23],"and":[24,40,49,54,59,118,128,132],"their":[25],"morphological":[26,46,106],"categories":[27],"to":[28,77,116,121],"inflected":[29],"surface":[30],"forms.":[31],"Using":[32],"LTs":[33],"advantageous":[35],"because":[36],"the":[37,60,63,102,114],"same":[38],"structure":[39],"algorithms":[41],"can":[42,65],"be":[43,66],"used":[44],"for":[45,62],"analysis":[47],"(stemming)":[48],"generation.":[50],"Morphological":[51],"processing":[52],"(analysis":[53],"generation)":[55],"computationally":[57],"faster,":[58],"data":[61],"process":[64],"compacted":[67],"more":[68],"tightly":[69],"than":[70],"with":[71],"other":[72],"methods.":[73],"The":[74],"standard":[75],"way":[76],"construct":[78],"an":[79],"LT":[80],"consists":[81],"three":[83],"steps:":[84],"(1)":[85],"constructing":[86],"simple":[88],"source":[91],"lexicon":[92],"LA":[93,131],"which":[94],"defines":[95],"all":[96],"valid":[97],"canonical":[98],"language;":[103],"(2)":[104],"describing":[105],"alternations":[107],"means":[109],"two-level":[111],"rules,":[112],"compiling":[113],"rules":[115],"FSTs,":[117],"intersecting":[119],"them":[120],"form":[122],"single":[124],"rule":[125],"RT;":[127],"(3)":[129],"composing":[130],"RT":[133],".":[134]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1975829924","counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-03-21T16:23:57.737688","created_date":"2016-06-24"}