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ABSTRACT
AsanimportantpartofChineseacademicjournals,sci-techperiodicalshavegreatsignificancetothespreadofknowledgeofscienceandtothedevelopmentoftechnology.Thelevelofinternationalizationofasci-tecjournalrepresentsitsrecognitiondegreeinthefieldofinternationalpublishing,besides,itisalsoakeycriteriaofthesuccessforlaunchingthejournals.Therearethelargestnumberofsci-techperiodicalslaunchedinBeijing,whichleadstoacentralrolethattakenbythisarea.Therefore,resultfromtheresearchwhichfocusinBeijingcan,toacertainextent,reflecttheinternationallevelofChinesesci-techperiodicals.
KeyWords:Beijing;sci-techperiodicals;internationalization;impactfactor
Abstract
Myths,especiallytheBible,coveralltheformsandmotifsknownasarchetypesinliterature.
Asadevotedpioneerandadvocatoroffeminism,Carterrealizesthatthosefemalearchetypesareusuallystereotypedanddogmatic,whichisactuallyinventedbypatriarchyfortheoppressionandexploitationofwomen.
Thirdly,thetransformativejourneyEveexperiencedfromachauvinisttoarealwomandemonstratesthatfemininity,ratherthananinherentquality,istheresultofsocialinfluenceandpersistentimitations.
Throughthedemythologizingofthosefemalearchetypes,CarteroverthrowsthepatriarchalhegemonyaswellasUtopianmatriarchaldreams,offeringandrogynyasapotentialsolutiontothecurrentsexualconflicts.Inheropinion,therealreconciliationbetweentwogendersshouldbebasedonmutualrespectandunderstanding,whichisconfirmedbytheunionbetweenthenewEveandTristessainThePassionofNewEve.
Keywords:femalearchetype;demythologizing;AngelaCarter;ThePassionofNewEve
Inrecentyears,withthedevelopmentofthefinancialsector,moreandmorepeoplepayattentiontothefinancialinformationsearch.However,thetraditionalkeywordsearchmethodcouldhardlymeettheneedsoffinancialusers.Therefore,semanticsearchproductshavegainedmorepopularity.However,thesemanticparsingprocessiscomplexanddiverse.Duringtheprocessoftheanalysisoflarge-scalerealtext,thesentenceanalysiswhichbasedonwordgranularityisverydifficult,butafterchunkanalysis,theaccuracycanbesignificantlyimprovedandthecomplexitycanbeclearlyreduced.Atpresent,theuserinputmethodisalmostthePinyininputmethod,thusitcouldprobablyhappenthattheinputphoneticlettersarecorrect,whiletheChinesecharacteriswrong.Inordertoachievethepurposeofimprovingtheuserexperience,thePinyintextproofreadingappears.
ThecontentofthispaperisapretreatmentsubsystemofthefinanceQ&Asystem,anditcontainstwofunctions,Pinyintextproofreadingandchunkpartition.
TextproofreadingisbasedonPinyin,inthefirstplace,puttingthequerysequenceintophoneticsequence.Thenitusesthemultiplegrammars,threegrammarsandtwogrammarstofilltheChinesecharacterssequence.Andifthereisnoambiguitywhenfilling,thenitusesthetextproofreading,otherwise,ignoresthetextproofreading.
Forthechunkpartition,thispaperusesthreedifferentmethods:themethodoftheshortestpathchunkpartition,themethodofCRFchunkpartitionandthemethodofneuralnetworkchunkpartition.Thesubsystemdesignedandimplementedthethreemethods.Theshortestpathchunkpartitionissimilartothedictionarywordsegmentationmethod.CRFchunkpartitiondividedtheproblemintotheannotationproblem,throughgettingtheoptimalsequencelabels,toreachthepurposeofchunkpartition.Chunkneuralnetworkchunkpartitionisbasedonwordsegmentation,changingthequerysequenceintoasequenceofnodes.Ifthesequenceofpossibilityimprovedafteraddingchunktagoneachnodesequence,thetagpositionisachunkposition.
Inpracticaltest,theshortestpathchunkpartitionbasedonthedictionary,cannotprocessthequerywhichisnotinthedictionaryofchunk.CRFchunkpartitioncansolvetheunknownchunkquery,butthemarkinformationistoosimplewhenthetrainingcorpusincreased,andtheerrorpercentageofresultsincreasedsignificantly.Whenusingneuralnetworksinchunkpartition,thepredictedtimeincreasessignificantly,however,thequerygeneralizationisagoodidea.Throughtheaboveresearch,areasonablewaytochunkpartitionistheCRFmethod,whichproperlyusesthequerygeneralization.
Finallyaftertesting,thepretreatmentsubsystemhasnotonlymettheneedsofthefinanceQ&Asystem,largelyimprovingthefinancialQ&Asystemuserexperience,butalsoreducestheanalyticalcomplexity,significantlyimprovedthecorrectnessandperformance.
Keywords:Pretreatmentsystemquestionanalysis,chunk,textproofreading,CRF,neuralnetwork