{"id":"https://openalex.org/W2970406801","doi":"https://doi.org/10.18653/v1/w19-4439","title":"Simple Construction of Mixed-Language Texts for Vocabulary Learning","display_name":"Simple Construction of Mixed-Language Texts for Vocabulary Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970406801","doi":"https://doi.org/10.18653/v1/w19-4439","mag":"2970406801"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w19-4439","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-4439","pdf_url":"https://www.aclweb.org/anthology/W19-4439.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 Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W19-4439.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089603211","display_name":"Adithya Renduchintala","orcid":"https://orcid.org/0000-0002-1896-3679"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adithya Renduchintala","raw_affiliation_strings":["Center for Language and Speech Processing Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112315093","display_name":"Philipp Koehn","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philipp Koehn","raw_affiliation_strings":["Center for Language and Speech Processing Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052467896","display_name":"Jason Eisner","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason Eisner","raw_affiliation_strings":["Center for Language and Speech Processing Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"369","last_page":"379"},"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":0.9994999766349792,"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":0.9990000128746033,"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/vocabulary","display_name":"Vocabulary","score":0.8338016867637634},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.822325587272644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6645562648773193},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6469846963882446},{"id":"https://openalex.org/keywords/foreign-language","display_name":"Foreign language","score":0.6153240203857422},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.5772907733917236},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4690777659416199},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.43969613313674927},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4293452501296997},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.42623692750930786},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3322361707687378},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.20920872688293457},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12629631161689758},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07363256812095642}],"concepts":[{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.8338016867637634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.822325587272644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6645562648773193},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6469846963882446},{"id":"https://openalex.org/C114010052","wikidata":"https://www.wikidata.org/wiki/Q150352","display_name":"Foreign language","level":2,"score":0.6153240203857422},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.5772907733917236},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4690777659416199},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.43969613313674927},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4293452501296997},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.42623692750930786},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3322361707687378},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.20920872688293457},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12629631161689758},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07363256812095642},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w19-4439","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-4439","pdf_url":"https://www.aclweb.org/anthology/W19-4439.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 Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w19-4439","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-4439","pdf_url":"https://www.aclweb.org/anthology/W19-4439.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 Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970406801.pdf","grobid_xml":"https://content.openalex.org/works/W2970406801.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1522301498","https://openalex.org/W1938755728","https://openalex.org/W1970209023","https://openalex.org/W1975589356","https://openalex.org/W2064675550","https://openalex.org/W2144596371","https://openalex.org/W2250854016","https://openalex.org/W2493916176","https://openalex.org/W2510483507","https://openalex.org/W2525332836","https://openalex.org/W2579343286","https://openalex.org/W2740586471","https://openalex.org/W2769215013","https://openalex.org/W2896457183","https://openalex.org/W2951559648","https://openalex.org/W2963341956","https://openalex.org/W2963347649","https://openalex.org/W2964121744","https://openalex.org/W2964234717","https://openalex.org/W3169121698","https://openalex.org/W4248661683","https://openalex.org/W4253122335","https://openalex.org/W4298422451","https://openalex.org/W4394643672"],"related_works":["https://openalex.org/W2028495302","https://openalex.org/W4396872084","https://openalex.org/W2349784553","https://openalex.org/W3022596247","https://openalex.org/W2601444686","https://openalex.org/W4249498729","https://openalex.org/W4307058054","https://openalex.org/W2002261065","https://openalex.org/W1997182898","https://openalex.org/W2944691285"],"abstract_inverted_index":{"We":[0,42,61,110,128],"present":[1],"a":[2,11,51,66,82,121],"machine":[3,52,95,145],"foreign-language":[4,96],"teacher":[5,53,97,146],"that":[6,28,44,130,170],"takes":[7],"documents":[8],"written":[9],"in":[10,159],"student's":[12],"native":[13],"language":[14,68,79,108,118],"and":[15,76,88],"detects":[16],"situations":[17],"where":[18],"it":[19,45],"can":[20,32],"replace":[21,104],"words":[22,102,141,153,158,181],"with":[23,147],"their":[24,176],"foreign":[25,30,140,180],"glosses":[26],"such":[27,50],"new":[29,73],"vocabulary":[31,74],"be":[33],"learned":[34],"simply":[35],"through":[36,120],"reading":[37,185],"the":[38,85,137,144,163,179,186],"resulting":[39],"mixed-language":[40],"text.":[41],"show":[43,169],"is":[46],"possible":[47],"to":[48,70,103,135,174],"design":[49],"without":[54],"any":[55],"supervised":[56],"data":[57],"from":[58],"(human)":[59],"students.":[60,93],"accomplish":[62],"this":[63,78,107],"by":[64,105,143],"modifying":[65],"cloze":[67],"model":[69,80],"incrementally":[71],"learn":[72],"items,":[75],"use":[77],"as":[81,154,156],"proxy":[83,117],"for":[84,150],"word":[86],"guessing":[87],"learning":[89],"ability":[90],"of":[91,101,114,139,162],"real":[92],"Our":[94],"decides":[98],"which":[99],"subset":[100],"consulting":[106],"model.":[109],"evaluate":[111],"three":[112,164],"variants":[113],"our":[115],"student":[116],"models":[119],"study":[122],"on":[123],"Amazon":[124],"Mechanical":[125],"Turk":[126],"(MTurk).":[127],"find":[129],"MTurk":[131],"\"students\"":[132],"were":[133],"able":[134,173],"guess":[136],"meanings":[138],"introduced":[142],"high":[148],"accuracy":[149],"both":[151],"function":[152],"well":[155],"content":[157],"two":[160],"out":[161],"models.":[165],"In":[166],"addition,":[167],"we":[168],"students":[171],"are":[172],"retain":[175],"knowledge":[177],"about":[178],"after":[182],"they":[183],"finish":[184],"document.":[187]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
