{"id":"https://openalex.org/W3113462123","doi":"https://doi.org/10.18653/v1/2020.coling-main.68","title":"Modeling language evolution and feature dynamics in a realistic geographic environment","display_name":"Modeling language evolution and feature dynamics in a realistic geographic environment","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3113462123","doi":"https://doi.org/10.18653/v1/2020.coling-main.68","mag":"3113462123"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2020.coling-main.68","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.coling-main.68","pdf_url":"https://www.aclweb.org/anthology/2020.coling-main.68.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 28th International Conference on Computational Linguistics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/2020.coling-main.68.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014082172","display_name":"Rhea Kapur","orcid":null},"institutions":[{"id":"https://openalex.org/I2799595691","display_name":"Pingry School","ror":"https://ror.org/04d5ffq02","country_code":"US","type":"education","lineage":["https://openalex.org/I2799595691"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rhea Kapur","raw_affiliation_strings":["The Pingry School"],"affiliations":[{"raw_affiliation_string":"The Pingry School","institution_ids":["https://openalex.org/I2799595691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075815955","display_name":"Phillip Rogers","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Phillip Rogers","raw_affiliation_strings":["Department of Linguistics The University of California, Santa Barbara"],"affiliations":[{"raw_affiliation_string":"Department of Linguistics The University of California, Santa Barbara","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014082172"],"corresponding_institution_ids":["https://openalex.org/I2799595691"],"apc_list":null,"apc_paid":null,"fwci":1.634,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87096655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"788","last_page":"798"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11640","display_name":"Linguistic Variation and Morphology","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/3310","display_name":"Linguistics and Language"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9487000107765198,"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":0.7200623154640198},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6120802760124207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47328469157218933},{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.47114959359169006},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.44976621866226196},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4460504949092865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23742416501045227},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.18129420280456543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7200623154640198},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6120802760124207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47328469157218933},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.47114959359169006},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.44976621866226196},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4460504949092865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23742416501045227},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.18129420280456543},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2020.coling-main.68","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.coling-main.68","pdf_url":"https://www.aclweb.org/anthology/2020.coling-main.68.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 28th International Conference on Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2020.coling-main.68","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.coling-main.68","pdf_url":"https://www.aclweb.org/anthology/2020.coling-main.68.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 28th International Conference on Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7200000286102295,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3113462123.pdf","grobid_xml":"https://content.openalex.org/works/W3113462123.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W593821198","https://openalex.org/W782797135","https://openalex.org/W803770162","https://openalex.org/W1574047653","https://openalex.org/W1968634208","https://openalex.org/W1973010597","https://openalex.org/W2012295324","https://openalex.org/W2036003067","https://openalex.org/W2062483575","https://openalex.org/W2074869468","https://openalex.org/W2079033744","https://openalex.org/W2141367839","https://openalex.org/W2163989766","https://openalex.org/W2318516124","https://openalex.org/W2501171757","https://openalex.org/W2582743722","https://openalex.org/W2604279909"],"related_works":["https://openalex.org/W1999392235","https://openalex.org/W2075537321","https://openalex.org/W2055668825","https://openalex.org/W2059493168","https://openalex.org/W2371593620","https://openalex.org/W2156037511","https://openalex.org/W2572678357","https://openalex.org/W2019481703","https://openalex.org/W2024930283","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Recent,":[0],"innovative":[1],"efforts":[2],"to":[3,19,67,82,106,142],"understand":[4],"the":[5,21,27,84,100,111,127],"uneven":[6],"distribution":[7],"of":[8,58,86,102,113,147],"languages":[9,41,104],"and":[10,16,26,42,61,73,119,135,137],"linguistic":[11,87],"feature":[12,92],"values":[13,93],"in":[14,29,47,78,126],"time":[15,46],"space":[17],"attest":[18],"both":[20,133],"challenge":[22],"these":[23,114],"issues":[24],"pose":[25],"value":[28],"solving":[30],"them.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35],"introduce":[36],"a":[37,48,56,144],"model":[38,57,131],"for":[39],"simulating":[40],"their":[43],"features":[44],"over":[45],"realistic":[49],"geographic":[50,74,118],"environment.":[51],"At":[52],"its":[53],"core":[54],"is":[55,80,132],"language":[59,70],"phylogeny":[60],"migration":[62],"whose":[63],"parameters":[64],"are":[65,90],"chosen":[66],"reproduce":[68],"known":[69],"family":[71],"sizes":[72],"dispersions.":[75],"This":[76],"foundation":[77],"turn":[79],"used":[81],"explore":[83],"dynamics":[85],"features.":[88],"Languages":[89],"assigned":[91],"that":[94],"can":[95,139],"change":[96],"randomly":[97],"or":[98],"under":[99],"influence":[101],"nearby":[103],"according":[105],"predetermined":[107],"probabilities.":[108],"We":[109],"assess":[110],"effects":[112],"settings":[115],"on":[116],"resulting":[117,130],"genealogical":[120],"patterns":[121],"using":[122],"homogeneity":[123],"measures":[124],"defined":[125],"literature.":[128],"The":[129],"flexible":[134],"realistic,":[136],"it":[138],"be":[140],"employed":[141],"answer":[143],"wide":[145],"range":[146],"related":[148],"questions.":[149]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
