Word-learning from visual prevalence: evidence from first ... · frequent nouns from the First,...
Transcript of Word-learning from visual prevalence: evidence from first ... · frequent nouns from the First,...
Word-learningfromvisualprevalence:evidencefromfirst-
personinfantviews
ElizabethM.Clerkin,ChenYu, &LindaB.Smith
DepartmentofPsychologicalandBrainSciences,IndianaUniversity
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BreakingintowordlearningTheproblemofuncertainty&clutter
Amappingproblem
• Thisconceptualizationisattheheartofcurrentdebatesaboutcross-situationalword-referentlearning(Medina,Snedeker,Trueswell,&Gleitman,2011;Smith,Suanda,&Yu,2014)
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Cup
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Today:Theveryearlysideofobjectnamelearning
8to10montholds
Birth& 12&months& 24&months&
First&words& Name&explosion&
Today:Theproblemisonthevisualside
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Long-timeassumptionthatbasiclevelcategoriesareperceptually“given”(Rosch,etal.,1976;Gentner,1982)However,humanvisionandmachinevisionresearchshowsthatvisualobjectrecognitionisnotatrivialproblembutonethatrequiresmassivevisualexperiencewithspecificcategories(Kourtzi&Connor,2011;Pinto,Cox,&DiCarlo,2008)Weknowalotaboutthewordsinfantshearandhowtheyarerelevanttoinfant’slaterwordlearning(seeHart&Risley,1995)
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Thenaturalstatisticsofobjectsininfants’viewsWeproposethatthenaturaldistributionofobjectsininfants’daytodayvisualenvironmentscanhelpsolvetheproblemsofreferentialuncertaintyandvisualobjectrecognition
Manynaturaldistributionsareextremelyright-skewed
Ifasmallsetofobjectsare pervasivelypresent,theycouldformanearlyselectsetofrecognizedobjectsforwordlearning
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Infantperspectivescenes
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HeadCamera(Looxcie)
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Corpuscollection
8infants(3male)Ranginginagefrom8.5to10.5months,M=9.2months
8.5totalhoursoffootage(meanpersubject=1.1,SD=0.54)Thetotalnumberofindividualmealtimeeventsinthesamplewas147• Meandurationof3.5min(SD=7.2)
The917,207(total)framesinthemealtimecorpusweresampledat1/5Hzforcoding• Thisyieldedatotalof5,775codedscenes
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Corpuscollection
• Imagesanalyzedwerecapturedduringinfantmealtimes• Mealtime=anyeating/foodrelatedevent• Occursmultiplestimesperdayeveryday• Likelyinvolvesalargevarietyofcommonobjects• Occursinmanydifferentcontexts
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Codingofthecorpus
About500naïveadults(AmazonMechanicalTurk)Task:namethefivemostobviousobjectsinthescene,usingbasiclevelnounsCoderssawimagesinsequentialsetsof20Eachscenewascodedby4individuals
745uniqueobjectnames
FirstNouns(133)– normativelylearnedby16months(CommunicativeDevelopmentalInventory- CDI)EarlyNouns(59)– normativelylearnedbetween16and30months(ToddlerCDI)LaterNouns(553)– othernounsnamedbycodersthatwerenotoneitherinventory• AoA:6.15years(SD=1.56)
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Objectnamecategories
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Areparentsnamingtheseobjects?
• Couldvisualpervasivenessitself– withouthigh-frequencynaming–supportlearningfirstobjectnames?• Wethinkthatitmight:• Byincreasingthestrengthofvisualobjectrepresentationsinclutteredscenes• Andthusthelikelihoodofselecting,remembering,andtherebyaggregatinganobjectasareferent
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• Thespeechfromtheseinfantheadcameravideoswastranscribedinentirety• Includingchild-directedspeech,adult-directedspeech,etc.
• “Namingmoments”wereextractedforeachofthe745objectsthatoccurredinthesescenes
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Areparentsnamingtheseobjects?
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Anassociativemodelofword-referentlearning
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• 50mostfrequentobjectsineachAoA category• Ineachtrialofthesimulation,thesystemwaspresentedwith5objectnamesdrawnfrom6differentnamingfrequenciesandalltheobjectscoderssaidwerepresentedinthatscene• 6differentnamingfrequencies:• Entirelyrandom- thatis:First,Early,andLaterNounswerenamedequallyoftenandwithnoregardtotheobjectsinthescene• Theobjectspresentinasceneandonlythoseobjectshadtheirnamespresentedtothesystem• Theother4conditionsareintermediatebetweenthesetwo
• Aco-occurrencematrixwasbuiltfromthesetrainingtrials• On1,000simulations,thesystemwasprobedonthe50mostfrequentnounsfromtheFirst,Early,andLaterNounslists• Onthetesttrials,ifthemaximalcellintheco-occurrencematrixforeachobjectnamewasitscorrespondingobject,thetrialwascountedascorrect
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Anassociativemodelofword-referentlearning
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Howdoinfantsbreakintolearningobjectnames?
Thepervasivenessofafewobjectcategoriespresent– dayinanddayout–ininfants’visualenvironmentsmaysolvereferentialambiguity,andthisvisuallearningmaybeginbeforewordlearning
Thenon-uniformfrequencystatisticsofvisualobjectsineverydayscenesbringsforwardasignaloflikelyreferentsinavisuallynoisyandclutteredworld
AcknowledgementsOurparticipatingfamiliesThemembersoftheCognitiveDevelopmentLabatIU,especiallyLizzieHart,ArielLa,Swapnaa Jayaraman,CaitlinFausey,DominiqueSaviano,andMaryLoftusOurfundingsources
The Cognitive Development Lab
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LaterNouns
Shelf
Bag
Container
Cabinet
Lid
Counter
Fireplace
Bin
Tablecloth
Straw
Painting
Handle
Seat
Wood
Outlet
EarlyNouns
Tray
Washing Machine
Napkin
Knife
Tissue
Basket
Sofa
Dryer
Bench
Can
Yogurt
Bucket
Sauce
Belt
Walker
FirstNouns
Table
Chair
Shirt
Bowl
Bottle
Spoon
Window
Cup
Plate
Glasses
Food
Door
Telephone
Couch
Picture