{"id":"https://openalex.org/W2948495108","doi":"https://doi.org/10.18653/v1/w19-4721","title":"Detecting Syntactic Change Using a Neural Part-of-Speech Tagger","display_name":"Detecting Syntactic Change Using a Neural Part-of-Speech Tagger","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2948495108","doi":"https://doi.org/10.18653/v1/w19-4721","mag":"2948495108"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w19-4721","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-4721","pdf_url":"https://www.aclweb.org/anthology/W19-4721.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 1st International Workshop on Computational Approaches to Historical Language Change","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W19-4721.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109946254","display_name":"William Merrill","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]},{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Merrill","raw_affiliation_strings":["Allen Institute for Artificial Intelligence, Seattle, WA, USA","Department of Linguistics, Yale University, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Allen Institute for Artificial Intelligence, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210156221"]},{"raw_affiliation_string":"Department of Linguistics, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001236255","display_name":"Gigi F. Stark","orcid":"https://orcid.org/0000-0002-6658-3435"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gigi Stark","raw_affiliation_strings":["Department of Linguistics, Yale University, New Haven, CT, USA","Yale University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Linguistics, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Yale University","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071457812","display_name":"Robert Frank","orcid":"https://orcid.org/0000-0001-9253-1658"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Frank","raw_affiliation_strings":["Department of Linguistics, Yale University, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Linguistics, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08401197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.9994999766349792,"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":0.9994999766349792,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9865000247955322,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9850000143051147,"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":0.7440162301063538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6103792786598206},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5976934432983398},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41978105902671814},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.4165852665901184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440162301063538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6103792786598206},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5976934432983398},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41978105902671814},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4165852665901184},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/w19-4721","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-4721","pdf_url":"https://www.aclweb.org/anthology/W19-4721.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 1st International Workshop on Computational Approaches to Historical Language Change","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1906.01661","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.01661","pdf_url":"https://arxiv.org/pdf/1906.01661","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2948495108","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1906.01661v2","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1906.01661","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.01661","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":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/w19-4721","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-4721","pdf_url":"https://www.aclweb.org/anthology/W19-4721.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 1st International Workshop on Computational Approaches to Historical Language Change","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2948495108.pdf","grobid_xml":"https://content.openalex.org/works/W2948495108.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W1596437524","https://openalex.org/W1614298861","https://openalex.org/W1752514392","https://openalex.org/W2759556264","https://openalex.org/W2963780471"],"related_works":["https://openalex.org/W2972540000","https://openalex.org/W2122495161","https://openalex.org/W2028995686","https://openalex.org/W2051721519","https://openalex.org/W2252210015","https://openalex.org/W1964485465","https://openalex.org/W2161095731","https://openalex.org/W2577088515","https://openalex.org/W144549204","https://openalex.org/W1952966038","https://openalex.org/W22792603","https://openalex.org/W2787719582","https://openalex.org/W2907758695","https://openalex.org/W361910221","https://openalex.org/W2581969392","https://openalex.org/W1205555590","https://openalex.org/W2527844536","https://openalex.org/W2005613933","https://openalex.org/W2097684537","https://openalex.org/W3159977105"],"abstract_inverted_index":{"We":[0,24,66],"train":[1],"a":[2,11,55,89],"diachronic":[3],"long":[4],"short-term":[5],"memory":[6],"(LSTM)":[7],"part-of-speech":[8],"tagger":[9,113],"on":[10],"large":[12],"corpus":[13],"of":[14,83,127],"American":[15,122],"English":[16,123],"from":[17],"the":[18,26,37,73,94,99,125,128],"19th,":[19,129],"20th,":[20,130],"and":[21,36,64,131],"21st":[22,133],"centuries.":[23,134],"analyze":[25],"tagger's":[27],"ability":[28],"to":[29,39,46,78,88,117],"implicitly":[30,115],"learn":[31],"temporal":[32,69,95],"structure":[33],"between":[34,59],"years,":[35],"extent":[38],"which":[40],"this":[41],"knowledge":[42],"can":[43,75],"be":[44,76],"transferred":[45],"date":[47],"new":[48],"sentences.":[49],"The":[50],"learned":[51,97],"year":[52],"embeddings":[53],"show":[54,67],"strong":[56],"linear":[57],"correlation":[58],"their":[60],"first":[61],"principal":[62],"component":[63],"time.":[65],"that":[68,93,111],"information":[70],"encoded":[71],"in":[72,121],"model":[74,118],"used":[77],"predict":[79],"novel":[80],"sentences'":[81],"years":[82],"composition":[84],"relatively":[85],"well.":[86],"Comparisons":[87],"feedforward":[90],"baseline":[91],"suggest":[92,110],"change":[96,120],"by":[98],"LSTM":[100],"is":[101,114],"syntactic":[102,119],"rather":[103],"than":[104],"purely":[105],"lexical.":[106],"Thus,":[107],"our":[108,112],"results":[109],"learning":[116],"over":[124],"course":[126],"early":[132]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}