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1、ModelingTermTranslationforDocument-informedMachineTranslationFandongMeng1,2DeyiXiong3WenbinJiang1,2QunLiu4,11KeyLaboratoryofIntelligentInformationProcessingInstituteofComputingTechnology,ChineseAcademyofSciences2UniversityofChineseAcademyofSciences{men
2、gfandong,jiangwenbin,liuqun}@ict.ac.cn3SchoolofComputerScienceandTechnology,SoochowUniversitydyxiong@suda.edu.cn4CentreforNextGenerationLocalisation,DublinCityUniversityAbstractInordertoachievethisgoal,wefocusonthreeissuesoftermtranslation:1)translatio
3、nambigu-Termtranslationisofgreatimportancefority,2)translationconsistencyand3)bracketing.statisticalmachinetranslation(SMT),es-First,termtranslationambiguityisrelatedtotrans-peciallydocument-informedSMT.Inthislationsofthesametermindifferentdomains.Apap
4、er,weinvestigatethreeissuesoftermsourcelanguagetermmayhavedifferenttransla-translationinthecontextofdocument-tionswhenitoccursindifferentdomains.Second,informedSMTandproposethreecor-translationconsistencyisaboutconsistenttrans-respondingmodels:(a)aterm
5、trans-lationsfortermsthatoccurinthesamedocument.lationdisambiguationmodelwhichse-Usually,itisundesirabletotranslatethesametermlectsdesirabletranslationsfortermsintheindifferentwaysasitoccursindifferentpartsofsourcelanguagewithdomaininformation,adocumen
6、t.Finally,bracketingconcernswhether(b)atermtranslationconsistencymodelamulti-wordtermisbracketableduringtransla-thatencouragesconsistenttranslationsfortion.Normally,amulti-wordtermistranslatedastermswithahighstrengthoftranslationawholeunitintoacontiguo
7、ustargetstring.consistencythroughoutadocument,andWestudythesethreeissuesinthecontext(c)atermbracketingmodelthatrewardsofdocument-informedSMT.Weusedocument-translationhypotheseswherebracketableinformedinformationtodisambiguatetermtrans-sourcetermsaretra
8、nslatedasawholelationsindifferentdocumentsandmaintaincon-unit.Weintegratethethreemodelsintosistenttranslationsfortermsthatoccurinthesamehierarchicalphrase-basedSMTandeval-document.Weproposethreedifferentmodelsforuatetheireffectivenesson
