简介:语篇语言学与翻译研究,进而讨论翻译研究的语篇语言学方法以及语篇翻译研究的范围、研究重点以及研究方法,即翻译研究的语篇语言学方法
简介:Asemi-structureddocumenthasmorestructuredinformationcomparedtoanordinarydocument,andtherelationamongsemi-structureddocumentscanbefullyutilized.Inordertotakeadvantageofthestructureandlinkinformationinasemi-structureddocumentforbettermining,astructuredlinkvectormodel(SLVM)ispresentedinthispaper,whereavectorrepresentsadocument,andvectors'elementsaredeterminedbyterms,documentstructureandneighboringdocuments.TextminingbasedonSLVMisdescribedintheprocedureofK-meansforbriefnessandclarity:calculatingdocumentsimilarityandcalculatingclustercenter.TheclusteringbasedonSLVMperformssignificantlybetterthanthatbasedonaconventionalvectorspacemodelintheexperiments,anditsFvalueincreasesfrom0.65-0.73to0.82-0.86.
简介:Thispaperexaminestheapproachusedbymiddleschoolteacherstoteachingtextsandarguesagainstthetraditionalpracticeofexploitingtextsjusttoteachgrammarandvocabulary.Amorebalancedapproachispresented,involvingallfour-languageskills,concentratingonoutputaswellasinput,andtrainingstu-dentstoextractrelevantinformationfromtexts,makingthemmoreefficientreaders.
简介:Thepaperdescribesatexture-basedfasttextlocationschemewhichoperatesdirectlyintheDiscreteWaveletTransform(DWT)domain.Bythedistinguishingtexturecharacteristicsencodedinwavelettransformdomain,thetextisfastdetectedfromcomplexbackgroundimagesstoredinthecompressedformatsuchasJPEG2000withoutfulldecompress.Comparedwithsometraditionalcharacterlocationmethods,theproposedschemehastheadvantagesoflowcomputationalcost,robusttosizeandfontofcharactersandhighaccuracy.Preliminaryexperimentalresultsshowthattheproposedschemeisefficientandeffective.
简介:Thispaperpresentsanewwaytoextractconceptthatcanbeusedtoimprovetextclassificationper-formance(precisionandrecall).Thecomputationalmeasurewillbedividedintotwolayers.Thebottomlayercalleddocumentlayerisconcernedwithextractingtheconceptsofparti-culardocumentandtheupperlayercalledcategorylayeriswithfindingthedescriptionandsubjectconceptsofparticularcategory.Therelevantim-plementationalgorithmthatdramatic-allydecreasesthesearchspaceisdis-cussedindetail.Theexperimentbasedonreal-worlddatacollectedfromInfo-Bankshowsthattheapproachissupe-riortothetraditionalones.
简介:TheonethingthatmostinterfereswithEnglishasaSecondLanguagelearner’sreadingisunknownvocabulary.Thisreferstoanywordwhichblocksthereaders’understandingintheirprocessofreading.Whenreading,onewillinevitablymeetunknownvocabularynomatterhowlargeone’smentallexiconis.Oftenthedensityofunfamiliarwordsinreadingmakesthereaderfeelgreatlyfrustratedandgiveupintheend,forhehasalreadylosthistrainofthoughtwhenlookingupwordsinthedictionary.Itisclearthattoogreatadensityofunknownlexicalitemsslowsdownthereadingspeedwhichleadstopoorcomprehensionofthetext.Ofcourse,one’sknowledgeofEnglishvocabularyisboundtobelimited;butisthereawayonecanefficientlycopewiththeunknownwordsonecomesacrossinreadingwithouthavingtostopandlookthemupinthedictionary.
简介:RecentyearshavewitnessedaresurgenceofinterestintheepicpoetryofValeriusFlaccusandhiscontemporariesintheSilverAge,leadingtotheappreciationoftheselaterepicsnotonlyfortheirintrinsicvaluebutalsofortheircontributiontoourunderstandingofepicintheprecedingGoldenAge,theprincipalexampleofwhichis,ofcourse,Vergil’sAeneid.Foritsrehabilitationtopopularity,ValeriusFlaccus’sArgonauticaisindebtedtotheperceptiveanalysisofthepractitionersofliterarycriticism.Withrespecttoancienttexts,however,literarycriticism
简介:Inthispaper,anewmethod,namedasL-treematch,ispresentedforextractingdatafromcomplexdatasources.Firstly,basedondataextractionlogicpresentedinthiswork,anewdataextractionmodelisconstructedinwhichmodelcomponentsarestructurallycorrelatedviaageneralizedtemplate.Secondly,adatabase-populatingmechanismisbuilt,alongwithsomeobject-manipulatingoperationsneededforflexibledatabasedesign,tosupportdataextractionfromhugetextstream.Thirdly,top-downandbottom-upstrategiesarecombinedtodesignanewextractionalgorithmthatcanextractdatafromdatasourceswithoptional,unordered,nested,and/ornoisycomponents.Lastly,thismethodisappliedtoextractaccuratedatafrombiologicaldocumentsamountingto100GBforthefirstonlineintegratedbiologicaldatawarehouseofChina.
简介:《21世纪大学英语》(21stCenturyCollegeEnglish)是获奖的“全国普通高校优秀教材”。该教材文化背景知识(Text-relatedInformation)丰富、内容新颖。在教学中充分利用教材中的文化背景内涵,加强大学英语文化融入教学,是提高学生的跨文化交际能力和适应日益增强的国际交流的需要。