A Graph-based Approach for Contextual Text Normalization

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1、AGraph-basedApproachforContextualTextNormalizationC¸agılS˘onmezandArzucan¨Ozg¨ur¨DepartmentofComputerEngineeringBogaziciUniversityBebek,34342Istanbul,Turkey{cagil.ulusahin,arzucan.ozgur}@boun.edu.trAbstractlolmeaninglaughingoutloud,xoxomeaningkiss-ing

2、,4umeaningforyouareamongthemostcom-Theinformalnatureofsocialmediatextmonlyusedexamplesofthisjargon.Inaddition,rendersitverydifficulttobeautomati-theseinformalexpressionsinsocialtextusuallycallyprocessedbynaturallanguagepro-takemanydifferentlexicalforms

3、whengeneratedcessingtools.Textnormalization,whichbydifferentindividuals(Eisenstein,2013).Thecorrespondstorestoringthenon-standardlimitedaccuraciesoftheSpeech-to-Text(STT)wordstotheircanonicalforms,providesatoolsinmobiledevices,whichareincreasinglybe-s

4、olutiontothischallenge.Weintroduceaningusedtopostmessagesonsocialmediaplat-unsupervisedtextnormalizationapproachforms,alongwiththescarcityofattentionofthatutilizesnotonlylexical,butalsocon-theusersresultinadditionaldivergenceofso-textualandgrammatical

5、featuresofsocialcialtextfrommorestandardtextsuchasfromtext.Thecontextualandgrammaticalfea-thenewswiredomain.Toolssuchasspellcheckerturesareextractedfromawordassociationandslangdictionarieshavebeenshowntobein-graphbuiltbyusingalargeunlabeledso-sufficien

6、ttocopewiththischallengelongtimecialmediatextcorpus.Thegraphencodesago(Sproatetal.,2001).Inaddition,mostNat-therelativepositionsofthewordswithre-uralLanguageProcessing(NLP)toolsincludingspecttoeachother,aswellastheirpart-of-namedentityrecognizersandde

7、pendencyparsersspeechtags.Thelexicalfeaturesareob-generallyperformpoorlyonsocialtext(Ritterettainedbyusingthelongestcommonsub-al.,2010).sequenceratioandeditdistancemeasurestoencodethesurfacesimilarityamongTextnormalizationisapreprocessingsteptowords,a

8、ndthedoublemetaphonealgo-restorenon-standardwordsintexttotheirorigi-rithmtorepresentthephoneticsimilarity.nal(canonical)formstomakeuseinNLPapplica-Unlikemostoftherecentapproachesthattionsormorebroadlytounderstandthedigitizedarebasedongeneratin