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1、ANewInputMethodforHumanTranslators:IntegratingMachineTranslationEffectivelyandImperceptiblyGuopingHuang,JiajunZhang,YuZhouandChengqingZongNationalLaboratoryofPatternRecognition,CASIA,Beijing,P.R.China{guoping.huang,jjzhang,yzhou,cqzong}@nlpr.ia.ac.cnAbstractandusedinanycommercial
2、CATtoolsbecauseofthehighworkloadofthetranslationprocess.Computer-aidedtranslation(CAT)systemisthemostInpractice,post-editingisastandardandwidely-usedpopulartoolwhichhelpshumantranslatorsperformapproachtoapplytheMTtechnologytoupgradetheCATlanguagetranslationefficiently.Tofurtheri
3、mprovethesystem:humantranslatorsgeneratethetranslationbyefficiency,thereisanincreasinginterestinapplyingthecorrectingtheMToutputs.IftherawMToutputisgoodmachinetranslation(MT)technologytoupgradeCAT.enough,itwilltakelittletimeforhumantranslatorstoPost-editingisastandardapproach:hum
4、antranslatorsachievethefinalacceptabletranslation.ConsiderablegeneratethetranslationbycorrectingMToutputs.Inthisevidencehasshownthathumantranslatorsaremorepaper,weproposeanovelapproachdeeplyintegratingproductiveandthetranslationresultsaremoreaccuratewhenMTintoCATsystems:awell-des
5、ignedinputmethodpost-editingisadopted(Carletal.,2011;Koehn,2012;whichmakesfulluseoftheknowledgeadoptedbyMTZhechev,2012).Intherealworld,thereareanumberofCATsystems,suchastranslationrules,decodinghypothesestoolssupportingpost-editing,suchasSDLTradosandandn-besttranslationlists.Ourp
6、roposedapproachMemoQ.allowshumantranslatorstofocusonchoosingbetterHowever,post-editingisfarfromperfect.Therearetwotranslationresultswithlesstimeratherthanjustmainchallengesforpost-editinginpractice.Foronething,completetranslationthemselves.Theextensivethelow-qualityoftheMTresults
7、oftenmakesahumanexperimentsdemonstratethatourmethodsavesmoretranslatorpuzzledandheadachytoedit,andhe/shewouldthan14%timeandover33%keystrokes,anditimprovesratherignoretheMTresultsandstarttranslatingfromscratch.thetranslationqualityaswellbymorethan3absoluteForanother,manytargetlang
8、uages(e.g.,ChineseandBLEUscorescomparedw