{"id":"https://openalex.org/W2124817287","doi":"https://doi.org/10.1017/s0958344009990218","title":"Utilizing lexical data from a Web-derived corpus to expand productive collocation knowledge","display_name":"Utilizing lexical data from a Web-derived corpus to expand productive collocation knowledge","publication_year":2009,"publication_date":"2009-12-18","ids":{"openalex":"https://openalex.org/W2124817287","doi":"https://doi.org/10.1017/s0958344009990218","mag":"2124817287"},"language":"en","primary_location":{"id":"doi:10.1017/s0958344009990218","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0958344009990218","pdf_url":null,"source":{"id":"https://openalex.org/S29746465","display_name":"ReCALL","issn_l":"0958-3440","issn":["0958-3440","1474-0109"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ReCALL","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/A5041196384","display_name":"Shaoqun Wu","orcid":"https://orcid.org/0000-0001-9566-005X"},"institutions":[{"id":"https://openalex.org/I52179390","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78","country_code":"NZ","type":"education","lineage":["https://openalex.org/I52179390"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Shaoqun Wu","raw_affiliation_strings":["Computer Science Department, University of Waikato, New Zealand","Computer science department, university of waikato, new zealand (email: shaoqun@cs.waikato.ac.nz; ihw@cs.waikato.ac.nz)#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Waikato, New Zealand","institution_ids":["https://openalex.org/I52179390"]},{"raw_affiliation_string":"Computer science department, university of waikato, new zealand (email: shaoqun@cs.waikato.ac.nz; ihw@cs.waikato.ac.nz)#TAB#","institution_ids":["https://openalex.org/I52179390"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045934263","display_name":"Ian H. Witten","orcid":"https://orcid.org/0000-0001-6428-8988"},"institutions":[{"id":"https://openalex.org/I52179390","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78","country_code":"NZ","type":"education","lineage":["https://openalex.org/I52179390"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Ian H. Witten","raw_affiliation_strings":["Computer Science Department, University of Waikato, New Zealand","Computer science department, university of waikato, new zealand (email: shaoqun@cs.waikato.ac.nz; ihw@cs.waikato.ac.nz)#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Waikato, New Zealand","institution_ids":["https://openalex.org/I52179390"]},{"raw_affiliation_string":"Computer science department, university of waikato, new zealand (email: shaoqun@cs.waikato.ac.nz; ihw@cs.waikato.ac.nz)#TAB#","institution_ids":["https://openalex.org/I52179390"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043674662","display_name":"Margaret Franken","orcid":"https://orcid.org/0000-0002-0195-3677"},"institutions":[{"id":"https://openalex.org/I52179390","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78","country_code":"NZ","type":"education","lineage":["https://openalex.org/I52179390"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Margaret Franken","raw_affiliation_strings":["School of Education, University of Waikato, New Zealand","School of education, university of waikato, new zealand (email: franken@waikato.ac.nz)#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Education, University of Waikato, New Zealand","institution_ids":["https://openalex.org/I52179390"]},{"raw_affiliation_string":"School of education, university of waikato, new zealand (email: franken@waikato.ac.nz)#TAB#","institution_ids":["https://openalex.org/I52179390"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041196384","https://openalex.org/A5043674662","https://openalex.org/A5045934263"],"corresponding_institution_ids":["https://openalex.org/I52179390"],"apc_list":{"value":3550,"currency":"USD","value_usd":3550},"apc_paid":null,"fwci":2.4953,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.88066415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"1","first_page":"83","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11587","display_name":"Second Language Acquisition and Learning","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11587","display_name":"Second Language Acquisition and Learning","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9991000294685364,"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":0.9927999973297119,"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":0.7828919291496277},{"id":"https://openalex.org/keywords/collocation","display_name":"Collocation (remote sensing)","score":0.7588158249855042},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6155939102172852},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.582337498664856},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5502904057502747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49593862891197205},{"id":"https://openalex.org/keywords/british-national-corpus","display_name":"British National Corpus","score":0.4663507044315338},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4529988169670105},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.43693244457244873},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43536248803138733},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.41491806507110596},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.371087908744812},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33664536476135254},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1259838044643402}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7828919291496277},{"id":"https://openalex.org/C80023036","wikidata":"https://www.wikidata.org/wiki/Q5147531","display_name":"Collocation (remote sensing)","level":2,"score":0.7588158249855042},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6155939102172852},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.582337498664856},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5502904057502747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49593862891197205},{"id":"https://openalex.org/C2776725116","wikidata":"https://www.wikidata.org/wiki/Q236935","display_name":"British National Corpus","level":2,"score":0.4663507044315338},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4529988169670105},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.43693244457244873},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43536248803138733},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.41491806507110596},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.371087908744812},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33664536476135254},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1259838044643402},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1017/s0958344009990218","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0958344009990218","pdf_url":null,"source":{"id":"https://openalex.org/S29746465","display_name":"ReCALL","issn_l":"0958-3440","issn":["0958-3440","1474-0109"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ReCALL","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.147.5619","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.5619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.waikato.ac.nz/~ihw/papers/09-SW-IHW-lexicaldata.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.157.8612","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.8612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.waikato.ac.nz/~ihw/papers/10-SW-MF-IHW-Utilizinglexdata.pdf","raw_type":"text"},{"id":"pmh:oai:researchcommons.waikato.ac.nz:10289/3531","is_oa":false,"landing_page_url":"https://hdl.handle.net/10289/3531","pdf_url":null,"source":{"id":"https://openalex.org/S4306400944","display_name":"Research Commons (University of Waikato)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I52179390","host_organization_name":"University of Waikato","host_organization_lineage":["https://openalex.org/I52179390"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8999999761581421,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W46713219","https://openalex.org/W205260337","https://openalex.org/W372188043","https://openalex.org/W577534029","https://openalex.org/W988031437","https://openalex.org/W1486521067","https://openalex.org/W1531900300","https://openalex.org/W1970399116","https://openalex.org/W1989090757","https://openalex.org/W1998686891","https://openalex.org/W2000916020","https://openalex.org/W2004061841","https://openalex.org/W2012822164","https://openalex.org/W2014516359","https://openalex.org/W2030186130","https://openalex.org/W2035091448","https://openalex.org/W2063765880","https://openalex.org/W2074807954","https://openalex.org/W2084240540","https://openalex.org/W2095632891","https://openalex.org/W2114282361","https://openalex.org/W2130210043","https://openalex.org/W2135417374","https://openalex.org/W2154391246","https://openalex.org/W2160332412","https://openalex.org/W2493399073","https://openalex.org/W4235865794"],"related_works":["https://openalex.org/W2462764091","https://openalex.org/W2386919059","https://openalex.org/W2762119291","https://openalex.org/W2362350383","https://openalex.org/W1997182898","https://openalex.org/W2382441019","https://openalex.org/W2029163078","https://openalex.org/W4220966435","https://openalex.org/W4293793643","https://openalex.org/W2288544142"],"abstract_inverted_index":{"Abstract":[0],"Collocations":[1],"are":[2,86,112],"of":[3,14,68,76,79,106,177],"great":[4],"importance":[5],"for":[6,158,166],"second":[7],"language":[8,22],"learners,":[9],"and":[10,32,42,51,89,162,184],"a":[11,17,39,48,55,92,104,167,178],"learner\u2019s":[12],"knowledge":[13],"them":[15],"plays":[16],"key":[18],"role":[19],"in":[20,54,64,135],"producing":[21],"fluently":[23],"(Nation,":[24],"2001:":[25],"323).":[26],"In":[27],"this":[28],"article":[29],"we":[30,71],"describe":[31],"evaluate":[33],"an":[34,73,144],"innovative":[35],"system":[36,122,149,182],"that":[37,57,127],"uses":[38],"Web-derived":[40],"corpus":[41,75],"digital":[43,94],"library":[44,95],"software":[45],"to":[46,150],"produce":[47],"vast":[49],"concordance":[50],"present":[52],"it":[53,153,165],"way":[56],"helps":[58],"students":[59,163,187],"use":[60,72],"collocations":[61],"more":[62,117],"effectively":[63],"their":[65,83,189],"writing.":[66,190],"Instead":[67],"live":[69],"search":[70],"off-line":[74],"short":[77],"sequences":[78,101],"words,":[80],"along":[81],"with":[82],"frequencies.":[84],"They":[85],"preprocessed,":[87],"filtered,":[88],"organized":[90],"into":[91],"searchable":[93],"collection":[96],"containing":[97],"380":[98],"million":[99],"five-word":[100],"drawn":[102],"from":[103],"vocabulary":[105],"145,000":[107],"words.":[108],"Although":[109],"the":[110,121,132,136,148,175,181],"phrases":[111],"short,":[113],"learners":[114],"can":[115],"browse":[116],"extended":[118],"contexts":[119],"because":[120],"automatically":[123],"locates":[124],"sample":[125],"sentences":[126],"contain":[128],"them,":[129],"either":[130],"on":[131],"Web":[133],"or":[134],"British":[137],"National":[138],"Corpus.":[139],"Two":[140],"evaluations":[141],"were":[142],"conducted:":[143],"expert":[145],"user":[146],"tested":[147],"see":[151],"if":[152],"could":[154,183],"generate":[155],"suitable":[156],"alternatives":[157],"given":[159],"text":[160],"fragments,":[161],"used":[164],"particular":[168],"exercise.":[169],"Both":[170],"suggest":[171],"that,":[172],"even":[173],"within":[174],"constraints":[176],"limited":[179],"study,":[180],"did":[185],"help":[186],"improve":[188]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":8}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}