{"id":"https://openalex.org/W3211936333","doi":"https://doi.org/10.18653/v1/2021.econlp-1.9","title":"To What Extent Can English-as-a-Second Language Learners Read Economic News Texts?","display_name":"To What Extent Can English-as-a-Second Language Learners Read Economic News Texts?","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3211936333","doi":"https://doi.org/10.18653/v1/2021.econlp-1.9","mag":"3211936333"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2021.econlp-1.9","doi":"https://doi.org/10.18653/v1/2021.econlp-1.9","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2021.econlp-1.9","pdf_url":"https://aclanthology.org/2021.econlp-1.9.pdf","source":{"id":"https://openalex.org/S7407120707","display_name":"Workshop on Economics and Natural Language Processing (ECONLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"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 Third Workshop on Economics and Natural Language Processing","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2021.econlp-1.9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007171156","display_name":"Yo Ehara","orcid":"https://orcid.org/0000-0001-9314-4617","observed_orcids":["https://orcid.org/0000-0001-9314-4617"]},"institutions":[{"id":"https://openalex.org/I161107111","display_name":"Tokyo Gakugei University","ror":"https://ror.org/00khh5r84","country_code":"JP","type":"education","lineage":["https://openalex.org/I161107111"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yo Ehara","raw_affiliation_strings":["Tokyo Gakugei University 4-1-1 Nukuikita-machi, Koganei-shi, Tokyo 184-8501 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Gakugei University 4-1-1 Nukuikita-machi, Koganei-shi, Tokyo 184-8501 Japan","institution_ids":["https://openalex.org/I161107111"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007171156"],"corresponding_institution_ids":["https://openalex.org/I161107111"],"apc_list":null,"apc_paid":null,"fwci":0.1153,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34805912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"62","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","score":0.9243000149726868,"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/T13629","display_name":"Text Readability and Simplification","score":0.9243000149726868,"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":0.07280000299215317,"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/T10021","display_name":"EFL/ESL Teaching and Learning","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/english-as-a-second-language","display_name":"English as a second language","score":0.8830000162124634},{"id":"https://openalex.org/keywords/business-news","display_name":"business news","score":0.8529999852180481},{"id":"https://openalex.org/keywords/readability-assessment","display_name":"readability assessment","score":0.777999997138977},{"id":"https://openalex.org/keywords/non-native-english-speakers","display_name":"non-native English speakers","score":0.777999997138977},{"id":"https://openalex.org/keywords/economic-terminology","display_name":"economic terminology","score":0.5410000085830688},{"id":"https://openalex.org/keywords/decision-making","display_name":"decision-making","score":0.4309999942779541}],"concepts":[{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.9616557359695435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764390707015991},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5504622459411621},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.505774736404419},{"id":"https://openalex.org/C2987496018","wikidata":"https://www.wikidata.org/wiki/Q1860","display_name":"English language","level":2,"score":0.49457570910453796},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48947370052337646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47306883335113525},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47248831391334534},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.19270578026771545},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11754214763641357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2021.econlp-1.9","doi":"https://doi.org/10.18653/v1/2021.econlp-1.9","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2021.econlp-1.9","pdf_url":"https://aclanthology.org/2021.econlp-1.9.pdf","source":{"id":"https://openalex.org/S7407120707","display_name":"Workshop on Economics and Natural Language Processing (ECONLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"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 Third Workshop on Economics and Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2021.econlp-1.9","doi":"https://doi.org/10.18653/v1/2021.econlp-1.9","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2021.econlp-1.9","pdf_url":"https://aclanthology.org/2021.econlp-1.9.pdf","source":{"id":"https://openalex.org/S7407120707","display_name":"Workshop on Economics and Natural Language Processing (ECONLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"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 Third Workshop on Economics and Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4156000018119812,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G3805804055","display_name":"A Study of Language Questions for Assessing Ability in Language Learning Systems","funder_award_id":"18K18118","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320311508","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338246","display_name":"ACT-X","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3211936333.pdf","grobid_xml":"https://content.openalex.org/works/W3211936333.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W63592799","https://openalex.org/W133394232","https://openalex.org/W1146155598","https://openalex.org/W1481128830","https://openalex.org/W1507711477","https://openalex.org/W1522301498","https://openalex.org/W1602368597","https://openalex.org/W1967390364","https://openalex.org/W1985672254","https://openalex.org/W2048587526","https://openalex.org/W2110515480","https://openalex.org/W2124926790","https://openalex.org/W2126267628","https://openalex.org/W2169294309","https://openalex.org/W2170185814","https://openalex.org/W2250340570","https://openalex.org/W2296438605","https://openalex.org/W2509701397","https://openalex.org/W2577885215","https://openalex.org/W2579059440","https://openalex.org/W2798571192","https://openalex.org/W2806183494","https://openalex.org/W2807251235","https://openalex.org/W2827279372","https://openalex.org/W2838983983","https://openalex.org/W2889272830","https://openalex.org/W2896457183","https://openalex.org/W2963341956","https://openalex.org/W2964121744","https://openalex.org/W2964941017","https://openalex.org/W2995437014","https://openalex.org/W3007483534","https://openalex.org/W3037857969","https://openalex.org/W3040010296","https://openalex.org/W3158183629","https://openalex.org/W3177242839","https://openalex.org/W4233063693"],"related_works":["https://openalex.org/W2357145653","https://openalex.org/W2613759518","https://openalex.org/W3212289689","https://openalex.org/W7067913598","https://openalex.org/W6891628384","https://openalex.org/W2251255723","https://openalex.org/W7027431855","https://openalex.org/W2951814709","https://openalex.org/W6941391127","https://openalex.org/W6992630008"],"abstract_inverted_index":{"In":[0],"decision":[1],"making":[2],"in":[3,27,43,45,81,132],"the":[4,29,57,98,110,140,147],"economic":[5,19,23,68,114,148],"field,":[6],"an":[7,84,113],"especially":[8],"important":[9],"requirement":[10],"is":[11,25,40],"to":[12,16,31,47,59,66,70,146],"rapidly":[13],"understand":[14],"news":[15,24,69,115,120],"absorb":[17],"ever-changing":[18],"situations.Given":[20],"that":[21,76,95,118,131],"most":[22,119],"written":[26],"English,":[28],"ability":[30],"read":[32,67,124],"such":[33],"information":[34],"without":[35],"waiting":[36],"for":[37,105],"a":[38,93],"translation":[39],"particularly":[41],"valuable":[42],"economics":[44],"contrast":[46],"other":[48],"fields.In":[49],"consideration":[50],"of":[51,100,109,112,142],"this":[52,54],"issue,":[53],"research":[55],"investigated":[56],"extent":[58],"which":[60],"non-native":[61],"English":[62,106,127],"speakers":[63],"are":[64],"able":[65],"make":[71],"decisions":[72],"accordingly":[73],"-an":[74],"issue":[75],"has":[77],"been":[78],"rarely":[79],"addressed":[80],"previous":[82],"studies.Using":[83],"existing":[85],"standard":[86],"dataset":[87],"as":[88],"training":[89],"data,":[90],"we":[91],"created":[92],"classifier":[94],"automatically":[96],"evaluates":[97],"readability":[99,111,135],"text":[101],"with":[102],"high":[103],"accuracy":[104],"learners.Our":[107],"assessment":[108],"corpus":[116],"revealed":[117],"texts":[121],"can":[122],"be":[123],"by":[125],"intermediate":[126],"learners.We":[128],"also":[129],"found":[130],"some":[133],"cases,":[134],"varies":[136],"considerably":[137],"depending":[138],"on":[139],"knowledge":[141],"certain":[143],"words":[144],"specific":[145],"field.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2021-11-22T00:00:00"}
