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1、分類號密級UDC1注學位論文AComparativeStudyofRulebasedStatisticalbasedMachineTranslationModels（題名和副題名）王茜（作者姓名）指導教師姓名伍忠杰教授電子科技大學成都（職務、職稱、學位、單位名稱及地址）申請專業(yè)學位級別碩士專業(yè)名稱外國語言學及應用語言學論文提交日期20110507論文答辯日期20110526學位授予單位和日期電子科技大學答辯委員會主席評閱人年月日注1：注
2、明《國際十進分類法UDC》的類號。AbstractAbstractThisthesismainlydiscussesthewkingprocessarchitecturalstructuresaswellastheadvantagesdisadvantagesofmainstreammachinetranslationmodels.Itisfoundthatinpreviousresearchesmostofthemfocusedont
3、hecomparisonofMTproductqualitiesinthetextlevelintheircommercialeconomicalvalueswhilefewresearcheshaveexpledthewkingsystemsofMTmodelswhichdeterminetoalargedegreetheaccuracyoftranslationproduct.Inthisstudythreeresearchques
4、tionsareaddressed:1)howthemechanicsfunctioninthetranslatingprocessofeachmodel2)howlinguisticfeaturesaredealtwithintheprocessofmachinetranslation3)Whatimprovementscanbesuggestedontheaccuracyfluencyofmachinetranslation.Faq
5、uantitativestudyseventyfivepiecesofbilingualnewsreptscoveringvarioustopicsarecollectedfromChinaDaily’sofficialonlinewebsiteasthesampletextsfevaluation.AllthesampleChinesetextsareprocessedbytwoMTsystemsGoogleTranslateSYST
6、RATranslationftheirEnglishversions.ThenanautomaticevaluationoftheMTproductsisexecutedthroughBLEUmetricfanoverallinvestigationoftheRBMTmodelSBMTmodel.ItisrevealedthatGoogleTranslateissuperitoSYSTRAinaccuracyoftranslationo
7、nvocabularylevel.HumanevaluationiscarriedoutbymarkingstingtranslationerrsfrequentlyfoundinthetranslationbythetwoMTsystems.ThefindingsdemonstratethatthetwoMTmodelsdifferindealingwithdifferentaspectsoflinguisticfeaturesint
8、heirtranslation.WhileGoogleTranslatehasadvantagesinprocessinglexicalsemanticmeaningofthesourcetextsSYSTRAkeepsbetterwdderssyntacticalrelations.InadditiontypicaltranslationerrsofthetwoMTsystemsareusedasexamplesfaqualitati
9、veanalysisinthethesis.ItisrevealedthatGoogleTranslatecanprocesscomparativestructuresbetterinthelexicallevelwhileSYSTRAcanwkbetteroncomplexsyntacticstructuressuchasattributiveclauses.Thefruitsoftheresearchprovideareliable
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