{"id":"https://openalex.org/W3204963350","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534166","title":"Towards mining bilingual lexicons and parallel phrases from large-scale monolingual corpora","display_name":"Towards mining bilingual lexicons and parallel phrases from large-scale monolingual corpora","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3204963350","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534166","mag":"3204963350"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5102344609","display_name":"Shilong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shilong Wu","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656961","display_name":"Xu Wang","orcid":"https://orcid.org/0000-0002-0722-8759"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Wang","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003403374","display_name":"Qiu-Yi Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuyi Ning","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028979091","display_name":"Shigui Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shigui Qiu","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102344609"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14460728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9994000196456909,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9846000075340271,"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":0.8770747184753418},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7834082841873169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.762745201587677},{"id":"https://openalex.org/keywords/parallel-corpora","display_name":"Parallel corpora","score":0.7472710013389587},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.6857174634933472},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.6441662907600403},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.6285748481750488},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4863946735858917},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44770199060440063},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4104922413825989},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41029149293899536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8770747184753418},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7834082841873169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.762745201587677},{"id":"https://openalex.org/C2985367798","wikidata":"https://www.wikidata.org/wiki/Q1346592","display_name":"Parallel corpora","level":3,"score":0.7472710013389587},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.6857174634933472},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.6441662907600403},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.6285748481750488},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4863946735858917},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44770199060440063},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4104922413825989},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41029149293899536},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.49000000953674316,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W75158669","https://openalex.org/W2041305041","https://openalex.org/W2114434620","https://openalex.org/W2126725946","https://openalex.org/W2171082019","https://openalex.org/W2270364989","https://openalex.org/W2295781714","https://openalex.org/W2740132093","https://openalex.org/W2741986357","https://openalex.org/W2952116087","https://openalex.org/W2962844668","https://openalex.org/W2963002901","https://openalex.org/W2963118869","https://openalex.org/W2963206679","https://openalex.org/W3035531963"],"related_works":["https://openalex.org/W2384400852","https://openalex.org/W3204898214","https://openalex.org/W2963259630","https://openalex.org/W2070920720","https://openalex.org/W2398549619","https://openalex.org/W1542743110","https://openalex.org/W2786253471","https://openalex.org/W3175595715","https://openalex.org/W2948803299","https://openalex.org/W2604275745"],"abstract_inverted_index":{"Bilingual":[0],"lexicons":[1,25,47,55,236],"and":[2,56,97,111,172,221,225,237,249],"parallel":[3,57,64,76,95,109,176,206,238],"phrases":[4,58,112,177],"have":[5,19,86],"a":[6,91,152,180,186],"great":[7],"effect":[8],"on":[9,217,245],"certain":[10],"tasks":[11,40],"of":[12,30,41,45,75,94,149,203],"natural":[13],"language":[14],"processing":[15],"(NLP).":[16],"Recent":[17],"researches":[18],"proved":[20],"that":[21,229],"the":[22,28,31,43,70,73,82,87,121,130,139,142,147,168,201,210,215,226],"high-quality":[23,234],"bilingual":[24,46,54,235],"can":[26,48,59,232],"hence":[27],"performance":[29],"machine":[32],"translation.":[33],"When":[34],"it":[35],"comes":[36],"to":[37,69,89,107,137,174,198],"some":[38],"special":[39],"NLP,":[42],"incorporation":[44],"bring":[49],"about":[50],"obvious":[51],"effectiveness.":[52],"The":[53],"be":[60],"easily":[61],"extracted":[62,205],"from":[63,113],"corpora,":[65,72,224],"but":[66],"in":[67,179,209],"contrast":[68],"monolingual":[71,83,114,211,223,247],"number":[74],"corpora":[77,84,248],"is":[78,196],"still":[79],"scarce.":[80],"Actually,":[81],"also":[85,241],"potential":[88],"mine":[90,233],"large":[92],"amount":[93],"word":[96],"phrase":[98,189,207],"pairs.":[99],"In":[100],"this":[101],"paper,":[102],"we":[103,119,155,184],"propose":[104,157,185],"two":[105],"strategies":[106],"extract":[108],"words":[110],"corpora.":[115,212],"On":[116,141],"one":[117],"hand,":[118,144],"present":[120],"indirect":[122],"mining":[123,135],"strategy,":[124],"Anchored":[125],"Mining":[126,164],"(AM),":[127],"which":[128,166,195],"injects":[129],"anchoring":[131],"point":[132],"into":[133],"each":[134,204],"procedure":[136],"improve":[138],"accuracy.":[140],"other":[143],"inspired":[145],"by":[146],"process":[148,171],"humans":[150],"learning":[151,170],"foreign":[153],"language,":[154],"further":[156],"another":[158],"novel,":[159],"direct":[160],"algorithm":[161],"named":[162],"Bootstrapping":[163],"(BM),":[165],"mimics":[167],"human":[169],"aims":[173],"learn":[175],"automatically":[178],"self-iterative":[181],"way.":[182],"Additionally,":[183],"novel":[187],"metric,":[188],"probability-sub":[190],"item":[191],"average":[192],"probability":[193],"(PP-SAP),":[194],"applied":[197],"quantitatively":[199],"evaluate":[200,242],"rationality":[202],"pair":[208],"We":[213,240],"conduct":[214],"experiments":[216],"large-scale":[218],"English-Chinese,":[219],"English-Russia,":[220],"English-France":[222],"results":[227,252],"show":[228],"our":[230,243],"methods":[231],"phrases.":[239],"algorithms":[244],"low-resource":[246],"get":[250],"good":[251],"as":[253],"well.":[254]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
