{"id":"https://openalex.org/W7128695409","doi":"https://doi.org/10.48550/arxiv.2602.10832","title":"I can tell whether you are a Native Hawl\u00eari Speaker! How ANN, CNN, and RNN perform in NLI-Native Language Identification","display_name":"I can tell whether you are a Native Hawl\u00eari Speaker! How ANN, CNN, and RNN perform in NLI-Native Language Identification","publication_year":2026,"publication_date":"2026-02-11","ids":{"openalex":"https://openalex.org/W7128695409","doi":"https://doi.org/10.48550/arxiv.2602.10832"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.10832","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125693561","display_name":"Hardi Garari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Garari, Hardi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002890988","display_name":"Hossein Hassani","orcid":"https://orcid.org/0000-0002-8899-4016"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hassani, Hossein","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9713000059127808,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9713000059127808,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.004100000020116568,"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/T12090","display_name":"Language and cultural evolution","score":0.002099999925121665,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.553600013256073},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5278000235557556},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5087000131607056},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4668000042438507},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4242999851703644},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41819998621940613},{"id":"https://openalex.org/keywords/computational-linguistics","display_name":"Computational linguistics","score":0.4165000021457672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7358999848365784},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5873000025749207},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.553600013256073},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5278000235557556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5267999768257141},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5087000131607056},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4668000042438507},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4242999851703644},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41819998621940613},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.4165000021457672},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4101000130176544},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3982999920845032},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3594000041484833},{"id":"https://openalex.org/C171041071","wikidata":"https://www.wikidata.org/wiki/Q36870","display_name":"First language","level":2,"score":0.35839998722076416},{"id":"https://openalex.org/C167055898","wikidata":"https://www.wikidata.org/wiki/Q321249","display_name":"Applied linguistics","level":2,"score":0.3569999933242798},{"id":"https://openalex.org/C532629269","wikidata":"https://www.wikidata.org/wiki/Q865083","display_name":"Corpus linguistics","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C2987567764","wikidata":"https://www.wikidata.org/wiki/Q125421","display_name":"Second language","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.2531999945640564},{"id":"https://openalex.org/C74672266","wikidata":"https://www.wikidata.org/wiki/Q815859","display_name":"Language acquisition","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.10832","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.10832","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.10832","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.10832","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.8863994479179382,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Native":[0],"Language":[1,9],"Identification":[2],"(NLI)":[3],"is":[4,202],"a":[5,25,65,93,107],"task":[6],"in":[7,34,78,110,213],"Natural":[8],"Processing":[10],"(NLP)":[11],"that":[12],"typically":[13],"determines":[14],"the":[15,62,90,103,113,116,184,203,210,214],"native":[16,133],"language":[17],"of":[18,92,95,115,119,126,187,221],"an":[19,194],"author":[20],"through":[21,27,165],"their":[22,28],"writing":[23],"or":[24,134],"speaker":[26],"speaking.":[29],"It":[30,99],"has":[31,48],"various":[32,169,224],"applications":[33],"different":[35,55],"areas,":[36],"such":[37,57,81],"as":[38,58,82],"forensic":[39],"linguistics":[40,43],"and":[41,60,72,140,157,178],"general":[42],"studies.":[44],"Although":[45],"considerable":[46],"research":[47,85,225],"been":[49],"conducted":[50],"on":[51,87,209],"NLI":[52,69,88,104,208],"regarding":[53,68],"two":[54],"languages,":[56],"English":[59],"German,":[61],"literature":[63],"indicates":[64],"significant":[66],"gap":[67,75],"for":[70,105,189,207],"dialects":[71],"subdialects.":[73],"The":[74,180,199],"becomes":[76],"wider":[77],"less-resourced":[79],"languages":[80],"Kurdish.":[83,98],"This":[84],"focuses":[86],"within":[89],"context":[91],"subdialect":[94,108,212],"Sorani":[96,215],"(Central)":[97],"aims":[100],"to":[101,173,223],"investigate":[102],"Hewl\u00eari,":[106],"spoken":[109],"Hewl\u00ear":[111],"(Erbil),":[112],"Capital":[114],"Kurdistan":[117],"Region":[118],"Iraq.":[120],"We":[121,143],"collected":[122],"about":[123],"24":[124],"hours":[125],"speech":[127,205],"by":[128],"recording":[129],"interviews":[130],"with":[131],"40":[132],"non-native":[135],"Hewl\u00eari":[136,211],"speakers,":[137],"17":[138],"female":[139],"23":[141],"male.":[142],"created":[144,200],"three":[145],"Neural":[146,150,154,159],"Network-based":[147],"models:":[148],"Artificial":[149],"Network":[151,155,160],"(ANN),":[152],"Convolutional":[153],"(CNN),":[156],"Recurrent":[158],"(RNN),":[161],"which":[162,218],"were":[163],"evaluated":[164],"66":[166],"experiments,":[167],"covering":[168],"time-frames":[170],"from":[171],"1":[172],"60":[174],"seconds,":[175],"undersampling,":[176],"oversampling,":[177],"cross-validation.":[179],"RNN":[181],"model":[182],"showed":[183],"highest":[185],"accuracy":[186],"95.92%":[188],"5-second":[190],"audio":[191],"segmentation,":[192],"using":[193],"80:10:10":[195],"data":[196],"splitting":[197],"scheme.":[198],"dataset":[201,206],"first":[204],"Kurdish":[216],"dialect,":[217],"can":[219],"be":[220],"benefit":[222],"areas.":[226]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-02-13T00:00:00"}
