{"id":"https://openalex.org/W2510613511","doi":"https://doi.org/10.18653/v1/p16-1211","title":"A Corpus-Based Analysis of Canonical Word Order of Japanese Double Object Constructions","display_name":"A Corpus-Based Analysis of Canonical Word Order of Japanese Double Object Constructions","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2510613511","doi":"https://doi.org/10.18653/v1/p16-1211","mag":"2510613511"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p16-1211","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1211","pdf_url":"https://aclanthology.org/P16-1211.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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/P16-1211.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049498516","display_name":"Ryohei Sasano","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ryohei Sasano","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5035876897","display_name":"Manabu Okumura","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manabu Okumura","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049498516"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7139,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89034684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2236","last_page":"2244"},"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/T12031","display_name":"Speech and dialogue systems","score":0.996399998664856,"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":0.9957000017166138,"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/word-order","display_name":"Word order","score":0.7592599391937256},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7511479258537292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7268521785736084},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6800246834754944},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6648964881896973},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6443739533424377},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.545490026473999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5380896925926208},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.46710553765296936},{"id":"https://openalex.org/keywords/non-canonical","display_name":"Non canonical","score":0.4554758071899414},{"id":"https://openalex.org/keywords/research-object","display_name":"Research Object","score":0.44791942834854126},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.43461737036705017}],"concepts":[{"id":"https://openalex.org/C70777604","wikidata":"https://www.wikidata.org/wiki/Q257885","display_name":"Word order","level":2,"score":0.7592599391937256},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7511479258537292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7268521785736084},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6800246834754944},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6648964881896973},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6443739533424377},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.545490026473999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5380896925926208},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.46710553765296936},{"id":"https://openalex.org/C3018844941","wikidata":"https://www.wikidata.org/wiki/Q6718887","display_name":"Non canonical","level":2,"score":0.4554758071899414},{"id":"https://openalex.org/C2778631480","wikidata":"https://www.wikidata.org/wiki/Q17143022","display_name":"Research Object","level":2,"score":0.44791942834854126},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.43461737036705017},{"id":"https://openalex.org/C148383697","wikidata":"https://www.wikidata.org/wiki/Q1781695","display_name":"Regional science","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p16-1211","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1211","pdf_url":"https://aclanthology.org/P16-1211.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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p16-1211","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p16-1211","pdf_url":"https://aclanthology.org/P16-1211.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 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8700000047683716,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2510613511.pdf","grobid_xml":"https://content.openalex.org/works/W2510613511.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W153789271","https://openalex.org/W1003321824","https://openalex.org/W1519891759","https://openalex.org/W1547351639","https://openalex.org/W1975005044","https://openalex.org/W2014292743","https://openalex.org/W2082778401","https://openalex.org/W2086802771","https://openalex.org/W2117909082","https://openalex.org/W2246832723","https://openalex.org/W2251634841","https://openalex.org/W2252028421","https://openalex.org/W2464104762"],"related_works":["https://openalex.org/W4243973949","https://openalex.org/W4244367268","https://openalex.org/W4241184701","https://openalex.org/W4247857899","https://openalex.org/W4243330948","https://openalex.org/W2969884545","https://openalex.org/W2384780837","https://openalex.org/W4386247780","https://openalex.org/W2351649248","https://openalex.org/W4239443983"],"abstract_inverted_index":{"The":[0],"canonical":[1,96,116],"word":[2,97,104,117],"order":[3,98,105,118],"of":[4,20,25,34,72,102,115,119],"Japanese":[5,120],"double":[6,121],"object":[7,122],"constructions":[8],"has":[9,16],"attracted":[10],"considerable":[11],"attention":[12],"among":[13],"linguists":[14],"and":[15,99,110],"been":[17],"a":[18,80,92,107,112],"topic":[19],"many":[21],"studies.":[22],"However,":[23],"most":[24],"these":[26,49],"studies":[27],"require":[28],"either":[29],"manual":[30],"analyses":[31,50],"or":[32,41],"measurements":[33],"human":[35],"characteristics":[36],"such":[37],"as":[38],"brain":[39],"activities":[40],"reading":[42],"times":[43],"for":[44,53],"each":[45,103],"example.":[46],"Thus,":[47,83],"while":[48],"are":[51],"reliable":[52],"the":[54,67,70,95,100],"examples":[55],"they":[56,59],"focus":[57],"on,":[58],"cannot":[60],"be":[61,76],"generalized":[62],"to":[63],"other":[64,68],"examples.":[65],"On":[66],"hand,":[69],"trend":[71],"actual":[73],"usage":[74],"can":[75],"collected":[77],"automatically":[78],"from":[79],"large":[81,108],"corpus.":[82],"in":[84,106],"this":[85],"paper,":[86],"we":[87],"assume":[88],"that":[89],"there":[90],"is":[91],"relationship":[93],"between":[94],"proportion":[101],"corpus":[109],"present":[111],"corpusbased":[113],"analysis":[114],"constructions.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
