{"id":"https://openalex.org/W1993451022","doi":"https://doi.org/10.1080/09296179408590000","title":"Modelling syntactic uncertainty in lexical acquisition from texts*","display_name":"Modelling syntactic uncertainty in lexical acquisition from texts*","publication_year":1994,"publication_date":"1994-01-01","ids":{"openalex":"https://openalex.org/W1993451022","doi":"https://doi.org/10.1080/09296179408590000","mag":"1993451022"},"language":"en","primary_location":{"id":"doi:10.1080/09296179408590000","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09296179408590000","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847"],"host_organization_lineage_names":["Routledge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083592532","display_name":"Roberto Basili","orcid":"https://orcid.org/0000-0001-5140-0694"},"institutions":[{"id":"https://openalex.org/I2802782265","display_name":"Fondazione \"Ugo Bordoni\"","ror":"https://ror.org/01kc65v41","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2802782265"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Roberto Basili","raw_affiliation_strings":["Fondazione Ugo Bordoni , Roma, Italy E-mail: rbas@tovvxl.ccd.utovrm.it"],"affiliations":[{"raw_affiliation_string":"Fondazione Ugo Bordoni , Roma, Italy E-mail: rbas@tovvxl.ccd.utovrm.it","institution_ids":["https://openalex.org/I2802782265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057383415","display_name":"Alessandro Marziali","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alessandro Marziali","raw_affiliation_strings":["PRAXIS Calcolo , Roma, Italy"],"affiliations":[{"raw_affiliation_string":"PRAXIS Calcolo , Roma, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111458384","display_name":"Maria Teresa Pazienza","orcid":null},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Teresa Pazienza","raw_affiliation_strings":["Dept. of El. Engineering , University of Tor Vergata , Roma, Italy E-mail: pazienza@tovvxl.ccd.utovrm.it"],"affiliations":[{"raw_affiliation_string":"Dept. of El. Engineering , University of Tor Vergata , Roma, Italy E-mail: pazienza@tovvxl.ccd.utovrm.it","institution_ids":["https://openalex.org/I116067653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083592532"],"corresponding_institution_ids":["https://openalex.org/I2802782265"],"apc_list":null,"apc_paid":null,"fwci":2.7256,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.90519854,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"1","issue":"1","first_page":"62","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T13629","display_name":"Text Readability and Simplification","score":0.9976999759674072,"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/T11587","display_name":"Second Language Acquisition and Learning","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8427093029022217},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7106077075004578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6550134420394897},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.632079005241394},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.5238202214241028},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.4840106666088104},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.48112526535987854},{"id":"https://openalex.org/keywords/grammaticality","display_name":"Grammaticality","score":0.4438365399837494},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.43781575560569763},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.4173985719680786},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3366163372993469},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11694693565368652},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08302435278892517}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8427093029022217},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7106077075004578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6550134420394897},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.632079005241394},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.5238202214241028},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.4840106666088104},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.48112526535987854},{"id":"https://openalex.org/C2779525943","wikidata":"https://www.wikidata.org/wiki/Q1187300","display_name":"Grammaticality","level":3,"score":0.4438365399837494},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.43781575560569763},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.4173985719680786},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3366163372993469},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11694693565368652},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08302435278892517},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/09296179408590000","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09296179408590000","pdf_url":null,"source":{"id":"https://openalex.org/S24321443","display_name":"Journal of Quantitative Linguistics","issn_l":"0929-6174","issn":["0929-6174","1744-5035"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319847","host_organization_name":"Routledge","host_organization_lineage":["https://openalex.org/P4310319847"],"host_organization_lineage_names":["Routledge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quantitative Linguistics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8299999833106995,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W80619934","https://openalex.org/W1506188936","https://openalex.org/W1541301615","https://openalex.org/W1572948005","https://openalex.org/W1982944197","https://openalex.org/W2007709031","https://openalex.org/W2047067573","https://openalex.org/W2061058538","https://openalex.org/W2085072851","https://openalex.org/W2099247782","https://openalex.org/W2114886551","https://openalex.org/W2123987305","https://openalex.org/W2335271477","https://openalex.org/W2406833436","https://openalex.org/W2612400687","https://openalex.org/W4235437302"],"related_works":["https://openalex.org/W2008201918","https://openalex.org/W2904417864","https://openalex.org/W2549543955","https://openalex.org/W2040148825","https://openalex.org/W2170375985","https://openalex.org/W2076779941","https://openalex.org/W1967141764","https://openalex.org/W2017988763","https://openalex.org/W1974236250","https://openalex.org/W2118045671"],"abstract_inverted_index":{"Abstract":[0],"Ambiguity":[1],"is":[2,38,79,102,127,137,146,158,173,183,209],"so":[3],"intrinsically":[4],"connected":[5],"to":[6,40,81,160,185,189],"the":[7,45,57,67,86,92,170],"various":[8],"levels":[9],"of":[10,42,66,85,91,97,106,110,123,193],"linguistic":[11,46,59],"competence":[12,53],"that":[13],"it":[14,126],"affects":[15],"language":[16,43],"understanding":[17],"tasks":[18],"as":[19,21,125,141],"well":[20],"all":[22],"related":[23],"applications":[24],"(i.e.":[25],"full\u2010text":[26],"retrieval,":[27],"machine":[28],"translation).":[29],"Mainly,":[30],"in":[31,72],"lexical":[32,163],"acquisition":[33,201],"systems,":[34],"where":[35],"increasing":[36],"attention":[37],"devoted":[39],"models":[41,54],"use,":[44],"bootstrapping":[47],"perspective":[48],"prevents":[49],"one":[50],"from":[51,199],"hypothesizing":[52],"available":[55],"at":[56],"different":[58,200],"levels.":[60],"This":[61,117],"paper":[62],"describes":[63],"a":[64,107,121,142,149],"generalization":[65],"syntactic":[68,89,99,166],"model":[69,118,167,190],"(SSA)":[70],"described":[71],"Basili":[73],"et":[74],"al.,":[75],"1992.":[76],"The":[77,95,165,181],"extension":[78],"seen":[80],"account":[82],"for":[83],"some":[84],"morphologic":[87],"and":[88],"ambiguities":[90],"(Italian)":[93],"language.":[94],"notion":[96],"elementary":[98],"relation":[100],"(esl)":[101],"extended":[103],"by":[104,130,148],"means":[105],"systematic":[108],"evaluation":[109],"its":[111,115,139],"(syntactic)":[112],"correctness,":[113],"i.e.":[114],"plausibility.":[116],"will":[119],"provide":[120],"measure":[122,172],"uncertainty":[124],"dynamically":[128],"generated":[129],"an":[131],"SSA\u2010like":[132],"grammar.":[133,151],"Each":[134],"derived":[135,178,198],"collocate":[136],"assigned":[138],"plausibility,":[140],"(partial)":[143],"parse":[144],"tree":[145],"evaluated":[147],"probabilistic":[150],"Acquisition":[152],"based":[153,168],"on":[154,169],"this":[155],"source":[156],"information":[157],"shown":[159],"produce":[161],"better":[162],"information.":[164],"plausibility":[171],"also":[174],"augmented":[175],"with":[176],"automatically":[177],"disambiguation":[179],"rules.":[180],"method":[182],"demonstrated":[184],"be":[186],"flexible":[187],"enough":[188],"multiple":[191],"forms":[192],"parsing":[194],"heuristics.":[195],"Lexical":[196],"knowledge":[197],"strategies":[202],"(frequency":[203],"vs.":[204,207],"plausibility\u2010driven,":[205],"blind":[206],"disambiguated)":[208],"evaluated.":[210]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}