{"id":"https://openalex.org/W2166852192","doi":"https://doi.org/10.3115/1219840.1219865","title":"Automatic measurement of syntactic development in child language","display_name":"Automatic measurement of syntactic development in child language","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2166852192","doi":"https://doi.org/10.3115/1219840.1219865","mag":"2166852192"},"language":"en","primary_location":{"id":"doi:10.3115/1219840.1219865","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1219840.1219865","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219865","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219865","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070742827","display_name":"Kenji Sagae","orcid":"https://orcid.org/0000-0003-3371-0618"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenji Sagae","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103284923","display_name":"Alon Lavie","orcid":"https://orcid.org/0000-0001-9934-6519"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alon Lavie","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043710796","display_name":"Brian MacWhinney","orcid":"https://orcid.org/0000-0002-4988-1342"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian MacWhinney","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":81,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"197","last_page":"204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9983999729156494,"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/T12031","display_name":"Speech and dialogue systems","score":0.9980999827384949,"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":0.782618522644043},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7132424116134644},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7123664021492004},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.6862667798995972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6510574221611023},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5967287421226501},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5840003490447998},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.559036374092102},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5265025496482849},{"id":"https://openalex.org/keywords/language-acquisition","display_name":"Language acquisition","score":0.47423288226127625},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4637945294380188},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4166170060634613},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.24474287033081055},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.24150091409683228}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.782618522644043},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7132424116134644},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7123664021492004},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.6862667798995972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6510574221611023},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5967287421226501},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5840003490447998},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.559036374092102},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5265025496482849},{"id":"https://openalex.org/C74672266","wikidata":"https://www.wikidata.org/wiki/Q815859","display_name":"Language acquisition","level":2,"score":0.47423288226127625},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4637945294380188},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4166170060634613},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.24474287033081055},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.24150091409683228},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3115/1219840.1219865","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1219840.1219865","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219865","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/6613646","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Automatic_Measurement_of_Syntactic_Development_in_Child_Language/6613646","pdf_url":"https://figshare.com/articles/Automatic_Measurement_of_Syntactic_Development_in_Child_Language/6613646","source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"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":"","raw_type":"Text"},{"id":"pmh:oai:repository.cmu.edu:psychology-1173","is_oa":false,"landing_page_url":"http://repository.cmu.edu/psychology/176","pdf_url":null,"source":{"id":"https://openalex.org/S4306400668","display_name":"Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I74973139","host_organization_name":"Carnegie Mellon University","host_organization_lineage":["https://openalex.org/I74973139"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Department of Psychology","raw_type":"text"},{"id":"pmh:doi:10.1184/r1/6613646","is_oa":false,"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":"Journal contribution"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.906.7523","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.906.7523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://repository.cmu.edu/cgi/viewcontent.cgi?article%3D1173%26context%3Dpsychology","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.96.6491","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.96.6491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://acl.ldc.upenn.edu/P/P05/P05-1025.pdf","raw_type":"text"},{"id":"doi:10.1184/r1/6613646.v1","is_oa":true,"landing_page_url":"https://doi.org/10.1184/r1/6613646.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407050927","display_name":"KiltHub Repository","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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.3115/1219840.1219865","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1219840.1219865","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219865","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7900000214576721,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G5625237956","display_name":"GRASP:     Parsing of Grammatical Relations for Databases of Spoken Language Interactions","funder_award_id":"0414630","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2166852192.pdf","grobid_xml":"https://content.openalex.org/works/W2166852192.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W73274768","https://openalex.org/W206774317","https://openalex.org/W1535015163","https://openalex.org/W1632114991","https://openalex.org/W1990338540","https://openalex.org/W1990932188","https://openalex.org/W1992119553","https://openalex.org/W2064120847","https://openalex.org/W2110882317","https://openalex.org/W2120973168","https://openalex.org/W2129882630","https://openalex.org/W2139885235","https://openalex.org/W2148992292","https://openalex.org/W2153439141","https://openalex.org/W2333916262","https://openalex.org/W2598282550","https://openalex.org/W2916566496","https://openalex.org/W3021633540"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W3046984657","https://openalex.org/W2053943328","https://openalex.org/W2077104824","https://openalex.org/W2168778844","https://openalex.org/W2241813887","https://openalex.org/W4287688258","https://openalex.org/W3049211950","https://openalex.org/W2405355225","https://openalex.org/W3127015870"],"abstract_inverted_index":{"To":[0],"facilitate":[1],"the":[2,8,37,45,79,92],"use":[3,38],"of":[4,10,23,39,74,81,88,94],"syntactic":[5,89],"information":[6],"in":[7,21,47],"study":[9],"child":[11,104],"language":[12,105],"acquisition,":[13],"a":[14,53],"coding":[15],"scheme":[16],"for":[17,62],"Grammatical":[18],"Relations":[19],"(GRs)":[20],"transcripts":[22],"parent-child":[24],"dialogs":[25],"has":[26],"been":[27],"proposed":[28],"by":[29,84],"Sagae,":[30],"MacWhinney":[31],"and":[32,58,72],"Lavie":[33],"(2004).":[34],"We":[35,77],"discuss":[36],"current":[40],"NLP":[41],"techniques":[42],"to":[43,102],"produce":[44],"GRs":[46],"this":[48,82],"annotation":[49],"scheme.":[50],"By":[51],"using":[52],"statistical":[54],"parser":[55],"(Charniak,":[56],"2000)":[57],"memory-based":[59],"learning":[60],"tools":[61],"classification":[63],"(Daelemans":[64],"et":[65],"al.,":[66],"2004),":[67],"we":[68],"obtain":[69],"high":[70],"precision":[71],"recall":[73],"several":[75],"GRs.":[76],"demonstrate":[78],"usefulness":[80],"approach":[83],"performing":[85],"automatic":[86],"measurements":[87],"development":[90],"with":[91],"Index":[93],"Productive":[95],"Syntax":[96],"(Scarborough,":[97],"1990)":[98],"at":[99],"similar":[100],"levels":[101],"what":[103],"researchers":[106],"compute":[107],"manually.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}