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,whichmapswordembeddingoftwolanguagesintoonevectorspace,hasbeenwidelyappliedinthedomainofmachinetranslation,,nom,wepro,,weconductedacomprehensiveexperiment,whichrevealsitsspeedadvantage,:Bilingualwordembedding·Distributedrepresentation·Commoncharacters·Chinese-Japanese1IntroductionDuetotheboostofsocialnetwork,massivetextdataaregeneratedeveryday,reachinganenormousbulkbeyondhuman’,thereisnowanurgentneedofhigh-qualityknowledgeextractionfromtext,whichisoftenassociatedwithnaturallanguageprocessing(NLP),originallyreferredasdistributedrepresentation,wasproposedbyHinton[1],ing,inwhichWord2VecbyGooglehasbeenextensivelyusedintextmining,textsegmentation,synonymdiscovery,,asaspecificformofwordembedding,gwordsoftwodifferentlanguages,,asbilingualwordembed-dinghasbeensuccessfullyappliedinmachinetranslation[2],wordsensedisambiguation[3],bilingualwordembeddingisstillatitsinitialstage,,weproposeamodelCJ-BOCforlearningChinese-Japanesewordembedding,basedonCBOW(shortforcontinuousbag-of-words),oneofthetwomodelsgivenin[2].TheexploitationofcommonChinesecharacterssharedbyChineseandJapaneseisthemaindifferencedistinguishingCJ-BOCfromCBOW,whosevalidi,CJ-BOCsignificantlyoutperfor:paneseareeffectiveforlearningwordembedding,fromaviewofinformationtheory;,wedesignanovelmodelforlearningChinese-Japanesewordembedding;:,,,,,nowcommonlyreferredaswordembedding,wasfirstlyproposedbyHinton[1].Comparedwiththeone-hotrepresentationinearlyworksofNLPandinformationretrieval,di,uagemodels(NNLM)proposedbyBengioetal.[4],whichus[5].Asanopensourceframework,Word2Vecprovidesmultiplemodels,includingH-Softmax,NEG,CBOW,andSkip-Gram,andisknownforitsfasttrainingspeed,lcontextwindowmethods,Penningtonetal.[7],[2]whichobtainedEnglishandSpanishwordembeddingseparately,andthengeneratedEnglish-Spanish,,bilingualwordembeddingdirectlydepictstheinternalrelatednessamongwordsoftwodifferentlanguages;theoretically,suchmeritenablesbilingualwordembeddingtofacilitatemachinetranslation,orevenfullyreplacewordmap[2]providedsolidproof,whichachievedanaccuracyofaround90%forEnglish-Spanishwordtranslation,,bilingualwordembeddinghasrecentlybeenappliedsuccessfullytomachinetranslation[2],namedentityrecognition,wordsensedisambiguation[3],[8]mentsordictionaries;andinanEnglish-Germancross-lingualclassificationtask,,wordembed-ding(andotherNLPresearchaswell)ideration,Chenetal.[9]proposedanewmodelcalledcharacter-enhancedwordembeddingmodel(CWE),:,Chuetal.[10]successfullyconstructedaChinese-Japaneseparallelcorpus,000yearsago,andhavebeenspreadwithChineseculturetoneighboringcountrieslikeKorea,Japan,Vietnam,,,,ChinesecharactersweregraduallyintegratedwithJapanesenativelanguages,andlaterformedawritingsystemwithChinesecharacters(kanji),,includingtraditionalChinese(inHongKong,Macau,Taiwan),simplifiedChinese(inmainlandChina,Singapore,Malaysia,etc.),ponded,,mostChinesecharactersina,Chuetal.[11]proposedaChinesecharactertableinvolvingtraditionalChinese,:kango,wago,gairaigo,,someofthemarepurelymadeupofChinesecharacters,andtherearealsosomemixedbyChinesecharactersandkana(hiraganaandkatakana),,%%.同时规定，省政府应当建立健全考核评价机制，制定创新驱动高质量发展综合评价指标，对科技创新、产业创新、人才支撑、环境保障、体系建设等方面的政策措施落实情况进行评价。今年5月，网上督查室作为中国（海南）自由贸易试验区制度创新案例公开发布。据透露，下阶段，兴业银行“芝麻开花·兴投资”项目专场将走进全国重点高新园区，通过平台赋能，助力园区加速高新技术产业化迈向高质量发展。