{"id":"https://openalex.org/W2912952320","doi":"https://doi.org/10.3390/bdcc3010010","title":"Modelling Early Word Acquisition through Multiplex Lexical Networks and Machine Learning","display_name":"Modelling Early Word Acquisition through Multiplex Lexical Networks and Machine Learning","publication_year":2019,"publication_date":"2019-01-24","ids":{"openalex":"https://openalex.org/W2912952320","doi":"https://doi.org/10.3390/bdcc3010010","mag":"2912952320"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc3010010","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc3010010","pdf_url":"https://www.mdpi.com/2504-2289/3/1/10/pdf?version=1548327553","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/3/1/10/pdf?version=1548327553","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074066409","display_name":"Massimo Stella","orcid":"https://orcid.org/0000-0003-1810-9699"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Massimo Stella","raw_affiliation_strings":["Complex Science Consulting, Via Amilcare Foscarini 2, 73100 Lecce, Italy"],"affiliations":[{"raw_affiliation_string":"Complex Science Consulting, Via Amilcare Foscarini 2, 73100 Lecce, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074066409"],"corresponding_institution_ids":[],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":10.1306,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.98314068,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"3","issue":"1","first_page":"10","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10730","display_name":"Language Development and Disorders","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10730","display_name":"Language Development and Disorders","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10103","display_name":"Reading and Literacy Development","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9659000039100647,"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":0.7330201864242554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6409609317779541},{"id":"https://openalex.org/keywords/mental-lexicon","display_name":"Mental lexicon","score":0.638164758682251},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6181273460388184},{"id":"https://openalex.org/keywords/polysemy","display_name":"Polysemy","score":0.46299606561660767},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.41284891963005066}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7330201864242554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6409609317779541},{"id":"https://openalex.org/C2776671715","wikidata":"https://www.wikidata.org/wiki/Q655170","display_name":"Mental lexicon","level":2,"score":0.638164758682251},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6181273460388184},{"id":"https://openalex.org/C2780276568","wikidata":"https://www.wikidata.org/wiki/Q191928","display_name":"Polysemy","level":2,"score":0.46299606561660767},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.41284891963005066}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/bdcc3010010","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc3010010","pdf_url":"https://www.mdpi.com/2504-2289/3/1/10/pdf?version=1548327553","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:86613ce082f74e61a4fe6823873b6142","is_oa":true,"landing_page_url":"https://doaj.org/article/86613ce082f74e61a4fe6823873b6142","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 3, Iss 1, p 10 (2019)","raw_type":"article"},{"id":"pmh:oai:iris.unitn.it:11572/365059","is_oa":true,"landing_page_url":"https://hdl.handle.net/11572/365059","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:mdpi.com:/2504-2289/3/1/10/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/bdcc3010010","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/bdcc3010010","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc3010010","pdf_url":"https://www.mdpi.com/2504-2289/3/1/10/pdf?version=1548327553","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2912952320.pdf","grobid_xml":"https://content.openalex.org/works/W2912952320.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W229097380","https://openalex.org/W1165099401","https://openalex.org/W1606375300","https://openalex.org/W1611349742","https://openalex.org/W1974991592","https://openalex.org/W1979532929","https://openalex.org/W1988883650","https://openalex.org/W1992444821","https://openalex.org/W1997161938","https://openalex.org/W2016429292","https://openalex.org/W2026601878","https://openalex.org/W2035726644","https://openalex.org/W2055859218","https://openalex.org/W2074079067","https://openalex.org/W2078894097","https://openalex.org/W2081360469","https://openalex.org/W2082092349","https://openalex.org/W2095689128","https://openalex.org/W2096797351","https://openalex.org/W2114082868","https://openalex.org/W2125297759","https://openalex.org/W2126423894","https://openalex.org/W2127387319","https://openalex.org/W2138410680","https://openalex.org/W2146270470","https://openalex.org/W2151936673","https://openalex.org/W2224272430","https://openalex.org/W2278803668","https://openalex.org/W2291706428","https://openalex.org/W2338122166","https://openalex.org/W2463786694","https://openalex.org/W2470716712","https://openalex.org/W2487259721","https://openalex.org/W2519079174","https://openalex.org/W2604325525","https://openalex.org/W2626472310","https://openalex.org/W2726091402","https://openalex.org/W2758196707","https://openalex.org/W2782151988","https://openalex.org/W2783488042","https://openalex.org/W2787345674","https://openalex.org/W2788488506","https://openalex.org/W2795512682","https://openalex.org/W2888799175","https://openalex.org/W2889071891","https://openalex.org/W2890191088","https://openalex.org/W2892005677","https://openalex.org/W2896241490","https://openalex.org/W2900936184","https://openalex.org/W2902077037","https://openalex.org/W2962889931","https://openalex.org/W2966095576","https://openalex.org/W2992020249","https://openalex.org/W3099227447","https://openalex.org/W3099643920","https://openalex.org/W3100333531","https://openalex.org/W3104767291","https://openalex.org/W3105386104","https://openalex.org/W3106470554","https://openalex.org/W4210416677","https://openalex.org/W4233292315","https://openalex.org/W4235019172","https://openalex.org/W4255913395","https://openalex.org/W6608852248"],"related_works":["https://openalex.org/W2484542680","https://openalex.org/W2192999257","https://openalex.org/W4390787963","https://openalex.org/W1970480508","https://openalex.org/W1831473261","https://openalex.org/W4293870971","https://openalex.org/W2790540478","https://openalex.org/W2138081912","https://openalex.org/W2137939897","https://openalex.org/W185906089"],"abstract_inverted_index":{"Early":[0],"language":[1,207,227],"acquisition":[2,85,192],"is":[3],"a":[4,37,52],"complex":[5],"cognitive":[6,42,233],"task.":[7],"Recent":[8],"data-informed":[9],"approaches":[10],"showed":[11],"that":[12,176],"children":[13],"do":[14],"not":[15],"learn":[16],"words":[17,32,89,119,166,201],"uniformly":[18],"at":[19],"random":[20],"but":[21],"rather":[22],"follow":[23],"specific":[24],"strategies":[25],"based":[26,102],"on":[27,45,103],"the":[28,34,48,71,76,80,108,118,148,162,177,187],"associative":[29],"representation":[30],"of":[31,54,75,82,86,113,117,165,182,186,200,212],"in":[33,204],"mental":[35,77,188],"lexicon,":[36,78],"conceptual":[38],"system":[39],"enabling":[40],"human":[41,224],"computing.":[43],"Building":[44],"this":[46],"evidence,":[47],"current":[49],"investigation":[50],"introduces":[51],"combination":[53],"machine":[55],"learning":[56],"techniques,":[57],"psycholinguistic":[58,105,217],"features":[59,106,199],"(i.e.,":[60],"frequency,":[61],"length,":[62],"polysemy":[63],"and":[64,66,73,94,101,169,184,216,226,231],"class)":[65],"multiplex":[67,127,138,143,213],"lexical":[68,214],"networks,":[69],"representing":[70],"semantics":[72],"phonology":[74],"with":[79,206],"aim":[81],"predicting":[83],"normative":[84],"529":[87],"English":[88],"by":[90],"toddlers":[91],"between":[92],"22":[93],"26":[95],"months.":[96],"Classifications":[97],"using":[98],"logistic":[99],"regression":[100],"four":[104],"achieve":[107],"best":[109,149],"baseline":[110],"cross-validated":[111],"accuracy":[112,131],"61.7%":[114],"when":[115,202],"half":[116],"have":[120],"been":[121],"acquired.":[122],"Adding":[123],"network":[124,151,198],"information":[125,171,183],"through":[126,229],"closeness":[128,160],"centrality":[129],"enhances":[130],"(up":[132],"to":[133],"67.7%)":[134],"more":[135,193],"than":[136,194],"adding":[137],"neighbourhood":[139],"density/degree":[140],"(62.4%)":[141],"or":[142,147,196],"PageRank":[144],"versatility":[145],"(63.0%)":[146],"single-layer":[150,195],"metric,":[152],"i.e.,":[153],"free":[154],"association":[155],"degree":[156],"(65.2%),":[157],"instead.":[158],"Multiplex":[159],"operationalises":[161],"structural":[163],"relevance":[164],"for":[167,222],"semantic":[168],"phonological":[170],"flow.":[172],"These":[173],"results":[174],"indicate":[175],"whole,":[178],"global,":[179],"multi-level":[180],"flow":[181],"structure":[185,215],"lexicon":[189],"influence":[190],"word":[191],"local":[197],"considered":[203],"conjunction":[205],"norms.":[208],"The":[209],"highlighted":[210],"synergy":[211],"norms":[218],"opens":[219],"new":[220],"ways":[221],"understanding":[223],"cognition":[225],"processing":[228],"powerful":[230],"data-parsimonious":[232],"computing":[234],"approaches.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}