{"id":"https://openalex.org/W2071852098","doi":"https://doi.org/10.1109/iros.2013.6696347","title":"Multimodal concept and word learning using phoneme sequences with errors","display_name":"Multimodal concept and word learning using phoneme sequences with errors","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2071852098","doi":"https://doi.org/10.1109/iros.2013.6696347","mag":"2071852098"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2013.6696347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2013.6696347","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":"article","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/A5073741458","display_name":"Tomoaki Nakamura","orcid":"https://orcid.org/0000-0002-3183-4599"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoaki Nakamura","raw_affiliation_strings":["Dept. of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan","Dept. of Mech. Eng. & Intell. Syst., Univ. of Electro-Commun., Chofu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Dept. of Mech. Eng. & Intell. Syst., Univ. of Electro-Commun., Chofu, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108478785","display_name":"Takaya Araki","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takaya Araki","raw_affiliation_strings":["Dept. of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan","Dept. of Mech. Eng. & Intell. Syst., Univ. of Electro-Commun., Chofu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Dept. of Mech. Eng. & Intell. Syst., Univ. of Electro-Commun., Chofu, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103002593","display_name":"Takayuki Nagai","orcid":"https://orcid.org/0000-0003-2778-2180"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Nagai","raw_affiliation_strings":["Dept. of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan","Dept. of Mech. Eng. & Intell. Syst., Univ. of Electro-Commun., Chofu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Dept. of Mech. Eng. & Intell. Syst., Univ. of Electro-Commun., Chofu, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035645797","display_name":"Shogo Nagasaka","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shogo Nagasaka","raw_affiliation_strings":["Dept. of Human and Computer Intelligence, Ritsumeikan University, Kusatsu, Shiga, Japan","Dept. of Human & Comput. Intell., Ritsumeikan Univ., Kusatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Human and Computer Intelligence, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Dept. of Human & Comput. Intell., Ritsumeikan Univ., Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023160093","display_name":"Tadahiro Taniguchi","orcid":"https://orcid.org/0000-0002-5682-2076"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadahiro Taniguchi","raw_affiliation_strings":["Dept. of Human and Computer Intelligence, Ritsumeikan University, Kusatsu, Shiga, Japan","Dept. of Human & Comput. Intell., Ritsumeikan Univ., Kusatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Human and Computer Intelligence, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Dept. of Human & Comput. Intell., Ritsumeikan Univ., Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112415166","display_name":"Naoto Iwahashi","orcid":null},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoto Iwahashi","raw_affiliation_strings":["National Institute of Information and Communications Technology, Japan","Nat. Inst. of Inf. & Commun. Technol., Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology, Japan","institution_ids":["https://openalex.org/I90023481"]},{"raw_affiliation_string":"Nat. Inst. of Inf. & Commun. Technol., Kyoto, Japan","institution_ids":["https://openalex.org/I90023481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5525,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71591754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"157","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9883999824523926,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9731000065803528,"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":0.8192974328994751},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6672236919403076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6642257571220398},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6264214515686035},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.610005259513855},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6071600914001465},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5878488421440125},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.5620520710945129},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.5554778575897217},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47367292642593384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41751453280448914},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.12948086857795715}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8192974328994751},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6672236919403076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6642257571220398},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6264214515686035},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.610005259513855},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6071600914001465},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5878488421440125},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.5620520710945129},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.5554778575897217},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47367292642593384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41751453280448914},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.12948086857795715},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2013.6696347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2013.6696347","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":[{"id":"https://metadata.un.org/sdg/4","score":0.699999988079071,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W1965921560","https://openalex.org/W2066006005","https://openalex.org/W2066941820","https://openalex.org/W2100690678","https://openalex.org/W2107034620","https://openalex.org/W2113897020","https://openalex.org/W2135632505","https://openalex.org/W2136851074","https://openalex.org/W2140991203","https://openalex.org/W2154422044","https://openalex.org/W2161050705","https://openalex.org/W2171706135","https://openalex.org/W3141683052","https://openalex.org/W4237791300","https://openalex.org/W6677120643","https://openalex.org/W6684936967","https://openalex.org/W6834357723"],"related_works":["https://openalex.org/W2172629291","https://openalex.org/W2380773642","https://openalex.org/W2384559435","https://openalex.org/W2337707338","https://openalex.org/W2393940967","https://openalex.org/W2785359773","https://openalex.org/W2058548953","https://openalex.org/W2385598138","https://openalex.org/W2366925922","https://openalex.org/W2159591557"],"abstract_inverted_index":{"In":[0,157],"this":[1,135],"study,":[2],"we":[3,137],"propose":[4,138],"a":[5,52,124,139],"method":[6,17,140,192],"for":[7,13],"concept":[8],"formation":[9],"and":[10,26,38,44,69,146,176,200,206],"word":[11,131,144,170,198],"acquisition":[12],"robots.":[14],"The":[15,118],"proposed":[16,159,191],"is":[18,63,77],"based":[19],"on":[20,127],"multimodal":[21,154],"latent":[22],"Dirichlet":[23],"allocation":[24],"(MLDA)":[25],"the":[27,49,58,75,86,96,128,158,167,183,190,195,202,208,212],"nested":[28],"Pitman-Yor":[29],"language":[30,82],"model":[31,83],"(NPYLM).":[32],"A":[33],"robot":[34,59,76],"obtains":[35],"haptic,":[36],"visual,":[37],"auditory":[39],"information":[40],"by":[41,152],"grasping,":[42],"observing,":[43],"shaking":[45],"an":[46,107],"object.":[47],"At":[48],"same":[50],"time,":[51],"user":[53],"teaches":[54],"object":[55,155,161],"features":[56],"to":[57,79,141,147,165,181],"through":[60],"speech,":[61],"which":[62],"recognized":[64,87,97],"using":[65,153],"only":[66],"acoustic":[67],"models":[68],"transformed":[70],"into":[71,104],"phoneme":[72,88,92,98,149,173,203],"sequences.":[73],"As":[74],"supposed":[78],"have":[80,123],"no":[81],"in":[84,106],"advance,":[85],"sequences":[89,99],"include":[90],"many":[91],"recognition":[93,150,174,204],"errors.":[94],"Moreover,":[95],"with":[100],"errors":[101,122,151],"are":[102,114,163],"segmented":[103,116],"words":[105,113,119,178,210],"unsupervised":[108,143],"manner;":[109],"however,":[110],"not":[111],"all":[112],"necessarily":[115],"correctly.":[117],"including":[120],"these":[121],"negative":[125],"effect":[126],"learning":[129],"of":[130,169,197],"meanings.":[132],"To":[133],"overcome":[134],"problem,":[136],"improve":[142,182,194],"segmentation":[145,199],"reduce":[148,172,201],"concepts.":[156],"method,":[160],"concepts":[162],"used":[164],"enhance":[166,211],"accuracy":[168,196],"segmentation,":[171],"errors,":[175],"correct":[177],"so":[179],"as":[180],"categorization":[184,213],"accuracy.":[185,214],"We":[186],"experimentally":[187],"demonstrate":[188],"that":[189,207],"can":[193],"error":[205],"obtained":[209]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}