{"id":"https://openalex.org/W1999924989","doi":"https://doi.org/10.1109/iros.2013.6696346","title":"Generating sentence from motion by using large-scale and high-order N-grams","display_name":"Generating sentence from motion by using large-scale and high-order N-grams","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W1999924989","doi":"https://doi.org/10.1109/iros.2013.6696346","mag":"1999924989"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2013.6696346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2013.6696346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5062663906","display_name":"Yusuke Goutsu","orcid":"https://orcid.org/0000-0002-9712-6720"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Goutsu","raw_affiliation_strings":["Department of Mechano-Informatics, University of Tokyo, Tokyo, Japan","[Dept. of Mechano-Inf., Univ. of Tokyo, Tokyo, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechano-Informatics, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"[Dept. of Mechano-Inf., Univ. of Tokyo, Tokyo, Japan]","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019765580","display_name":"Wataru Takano","orcid":"https://orcid.org/0000-0002-4846-3552"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wataru Takano","raw_affiliation_strings":["Department of Mechano-Informatics, University of Tokyo, Tokyo, Japan","[Dept. of Mechano-Inf., Univ. of Tokyo, Tokyo, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechano-Informatics, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"[Dept. of Mechano-Inf., Univ. of Tokyo, Tokyo, Japan]","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040633710","display_name":"Yoshihiko Nakamura","orcid":"https://orcid.org/0000-0001-7162-5102"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshihiko Nakamura","raw_affiliation_strings":["Department of Mechano-Informatics, University of Tokyo, Tokyo, Japan","[Dept. of Mechano-Inf., Univ. of Tokyo, Tokyo, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechano-Informatics, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"[Dept. of Mechano-Inf., Univ. of Tokyo, Tokyo, Japan]","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2004","issue":null,"first_page":"151","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9986000061035156,"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":0.9972000122070312,"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/sentence","display_name":"Sentence","score":0.7639453411102295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7452517747879028},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6406424045562744},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5781183838844299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5633153319358826},{"id":"https://openalex.org/keywords/word-order","display_name":"Word order","score":0.5479417443275452},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5231536626815796},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49366554617881775},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4867546558380127},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.47054749727249146},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4375758767127991},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4122759699821472},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.4104405641555786},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25906068086624146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07979530096054077}],"concepts":[{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7639453411102295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7452517747879028},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6406424045562744},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5781183838844299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5633153319358826},{"id":"https://openalex.org/C70777604","wikidata":"https://www.wikidata.org/wiki/Q257885","display_name":"Word order","level":2,"score":0.5479417443275452},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5231536626815796},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49366554617881775},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4867546558380127},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.47054749727249146},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4375758767127991},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4122759699821472},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.4104405641555786},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25906068086624146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07979530096054077},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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:10.1109/iros.2013.6696346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2013.6696346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W23665312","https://openalex.org/W165283731","https://openalex.org/W1526915519","https://openalex.org/W1982486572","https://openalex.org/W1995122024","https://openalex.org/W2088761778","https://openalex.org/W2128135020","https://openalex.org/W2128774515","https://openalex.org/W2142344747","https://openalex.org/W2143623899","https://openalex.org/W2146383185","https://openalex.org/W6600963065","https://openalex.org/W6606787761"],"related_works":["https://openalex.org/W2964976023","https://openalex.org/W1982477181","https://openalex.org/W2403083015","https://openalex.org/W4285488523","https://openalex.org/W2011367623","https://openalex.org/W2734065904","https://openalex.org/W2027125286","https://openalex.org/W2049289069","https://openalex.org/W2809078847","https://openalex.org/W2067843453"],"abstract_inverted_index":{"Motion":[0],"recognition":[1],"is":[2,88],"an":[3],"essential":[4],"technology":[5],"for":[6],"social":[7],"robots":[8,21],"in":[9,74],"various":[10],"environments":[11],"such":[12],"as":[13,92],"homes,":[14],"offices":[15],"and":[16,28,49,53,118],"shopping":[17],"center,":[18],"where":[19],"the":[20,81,85,90,100,104,123],"are":[22],"expected":[23],"to":[24,55],"understand":[25],"human":[26],"behavior":[27],"interact":[29],"with":[30],"them.":[31],"In":[32,96],"this":[33],"paper,":[34],"we":[35,98],"present":[36],"a":[37],"system":[38,87],"composed":[39],"of":[40,84,125],"three":[41],"models:":[42],"motion":[43],"language":[44,47],"model,":[45,52],"natural":[46],"model":[48],"integration":[50],"inference":[51],"achieved":[54],"generate":[56],"sentences":[57,77,109],"from":[58],"motions":[59],"using":[60,69],"large":[61],"high-order":[62],"N-grams.":[63],"We":[64],"confirmed":[65],"not":[66],"only":[67],"that":[68,80,116],"higher-order":[70],"N-grams":[71],"improves":[72],"precision":[73,101,124],"generating":[75],"long":[76],"but":[78],"also":[79],"computational":[82],"complexity":[83],"proposed":[86],"almost":[89],"same":[91],"our":[93],"previous":[94],"one.":[95],"addition,":[97],"improved":[99],"by":[102],"aligning":[103],"graph":[105],"structure":[106],"representing":[107],"generated":[108],"into":[110],"confusion":[111],"network":[112],"form.":[113],"This":[114],"means":[115],"simplifying":[117],"compacting":[119],"word":[120],"sequences":[121],"affect":[122],"sentence":[126],"generation.":[127]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}