{"id":"https://openalex.org/W2891475925","doi":"https://doi.org/10.18653/v1/d18-2010","title":"Juman++: A Morphological Analysis Toolkit for Scriptio Continua","display_name":"Juman++: A Morphological Analysis Toolkit for Scriptio Continua","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2891475925","doi":"https://doi.org/10.18653/v1/d18-2010","mag":"2891475925"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d18-2010","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-2010","pdf_url":"https://www.aclweb.org/anthology/D18-2010.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 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D18-2010.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075775591","display_name":"Arseny Tolmachev","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Arseny Tolmachev","raw_affiliation_strings":["Graduate School of Informatics Kyoto University Yoshida-honmachi, Sakyo-ku Kyoto, 606-8501, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics Kyoto University Yoshida-honmachi, Sakyo-ku Kyoto, 606-8501, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102867777","display_name":"Daisuke Kawahara","orcid":"https://orcid.org/0000-0002-3598-1027"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Kawahara","raw_affiliation_strings":["Graduate School of Informatics Kyoto University Yoshida-honmachi, Sakyo-ku Kyoto, 606-8501, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics Kyoto University Yoshida-honmachi, Sakyo-ku Kyoto, 606-8501, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028836340","display_name":"Sadao Kurohashi","orcid":"https://orcid.org/0000-0001-5398-8399"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sadao Kurohashi","raw_affiliation_strings":["Graduate School of Informatics Kyoto University Yoshida-honmachi, Sakyo-ku Kyoto, 606-8501, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics Kyoto University Yoshida-honmachi, Sakyo-ku Kyoto, 606-8501, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075775591"],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":4.5608,"has_fulltext":true,"cited_by_count":61,"citation_normalized_percentile":{"value":0.95736392,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.8069823384284973},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7007836103439331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5630372762680054},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5426807999610901},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.530326783657074},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.5220884680747986},{"id":"https://openalex.org/keywords/open-source","display_name":"Open source","score":0.4802427589893341},{"id":"https://openalex.org/keywords/mit-license","display_name":"MIT License","score":0.44518277049064636},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3158143162727356},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.1554253101348877},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.117108553647995},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10606682300567627}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069823384284973},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7007836103439331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5630372762680054},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5426807999610901},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.530326783657074},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.5220884680747986},{"id":"https://openalex.org/C3018397939","wikidata":"https://www.wikidata.org/wiki/Q3644502","display_name":"Open source","level":3,"score":0.4802427589893341},{"id":"https://openalex.org/C174183944","wikidata":"https://www.wikidata.org/wiki/Q334661","display_name":"MIT License","level":3,"score":0.44518277049064636},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3158143162727356},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.1554253101348877},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.117108553647995},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10606682300567627},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d18-2010","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-2010","pdf_url":"https://www.aclweb.org/anthology/D18-2010.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 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d18-2010","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-2010","pdf_url":"https://www.aclweb.org/anthology/D18-2010.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 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2891475925.pdf","grobid_xml":"https://content.openalex.org/works/W2891475925.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2080021732","https://openalex.org/W2127863960","https://openalex.org/W2131241448","https://openalex.org/W2171671120","https://openalex.org/W2251627854","https://openalex.org/W2521689864"],"related_works":["https://openalex.org/W2036021480","https://openalex.org/W2546377002","https://openalex.org/W4285209474","https://openalex.org/W22571951","https://openalex.org/W2046541848","https://openalex.org/W4384009753","https://openalex.org/W2791776396","https://openalex.org/W4286531993","https://openalex.org/W3081674575","https://openalex.org/W4287673983"],"abstract_inverted_index":{"We":[0,76],"present":[1],"a":[2,19,26,42,52,79],"three-part":[3],"toolkit":[4],"for":[5,9,36,44,59],"developing":[6],"morphological":[7,21,57],"analyzers":[8],"languages":[10],"without":[11],"natural":[12],"word":[13],"boundaries.":[14],"The":[15,38],"first":[16],"part":[17],"is":[18],"lattice-based":[20],"analysis":[22,84],"library":[23],"that":[24],"uses":[25],"combination":[27],"of":[28,85],"linear":[29],"and":[30,51,82],"recurrent":[31],"neural":[32],"net":[33],"language":[34],"models":[35],"analysis.":[37],"other":[39],"parts":[40],"are":[41],"tool":[43],"exposing":[45],"problems":[46],"in":[47],"the":[48,73],"trained":[49],"model":[50],"partial":[53],"annotation":[54],"tool.":[55],"Our":[56],"analyzer":[58],"Japanese":[60],"achieves":[61],"new":[62],"SOTA":[63],"on":[64],"Jumandic-based":[65],"corpora":[66],"while":[67],"being":[68],"250":[69],"times":[70],"faster":[71],"than":[72],"previous":[74],"one.":[75],"also":[77],"perform":[78],"small":[80],"experiment":[81],"quantitive":[83],"using":[86],"our":[87],"toolkit.":[88]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
