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Last updated 3:18 PM on 6/29/26
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139 Terms

1
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two properties of language

  1. hierarchical

  2. rule based

  3. unique to humans

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creation of psycholinguistics

Chomsky: language is productive (produce new combinations), comprehension and representation are partially innate

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levels of langugage analysis

  1. phoneme (smallest unit, eg. [th] in thin

  2. morpheme (combinations of phonemes, eg. )

  3. word

  4. phrase

  5. sentence

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language development milestones

  1. babbling @ 7 mo

  2. multi word phrases @ 2 yo

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Goldin-Meadow 1972

children will create their own language (deaf)

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productivity/generative nature of language

  1. produce infinite combinations

  2. completely novel sentences

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phoneme

  • tested with minimal pairs (bed vs. bag —> ed and ag change the meaning, therefore meaningful)

  • every language has toolbox from 200 phonemes

  • vary across speakers (region, gender, age, etc.)

  • vary across contexts

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coarticulation

  • overlap in phonemes across contexts makes you pronounce it differently

  • eg. p in pot vs. spot

  • look @ spectrographs to determine presence of coarticulation

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categorical perception

  • only able to percieve distinctions in the sounds that we speak

  • eg. ta vs. tha in Hindi

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speech segmentation

  • how we separate individual words without actual pauses

  • insertion of pauses based on our prior knowledge (top-down)

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phoneme restoration effect (Warren & Warren 1970)

  • insert relevant phoneme depending on context

  • It was on the __eel (wheel, heel, peel) depending on the different cue

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morpheme

  • smallest unit of sound that has meaning

  • eg. re in repay, recall

  • means to REDO something

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what is parsing, conceptually?

  • take a sequence of words

  • build structured rep of relation of words

  • sentences are more than word list

  • incremental and iterative, parses as you go

  • choose between competing structures

  • more than syntax —> semantic, context matters too

14
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sound-meaning mapping is

random,

15
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lexicon

LTM for words

16
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lexical decision task (meyer and schevendalt 1971)

  • determine if a presented word is indeed a word

  • POE vs. familiarity (lexical access)

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frequency effect (Rayner et. al 2003)

  • eye movement measures how fast items were retrieved from lexicon

  • more frequent words = faster rxn time

  • look longer @ more frequent words

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ambiguity of words

  • homonyms

  • polysemes (same word, many meanings —> diamond - baseball diamond, gem, shape)

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how do we understand polysemes?

  • biased/balanced dominance

  • in the context, what is most likely? depends on FREQUENCY

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biased dominance

  • tin as a metal is more common than tin as container

  • therefore more frequent use = first to come to mind

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balanced dominance

  • cast as in plaster vs. cast as in actors

  • both are equally common therefore you need context to determine which is which

22
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biased vs. balanced dominance, experimentally

  • w/o context —> you take more time with balanced dominant words, less with biased

  • w/ context —> dominance + context both play a role, takes more time to determine less common word

23
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lexical priming

  • semantic context changes interpretation of next word

  • eg. they all rose vs. she held a rose

  • probe = flower (response is faster for she held a rose vs they all rose)

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phrase structure

  • hierarchical org of sentences

  • helps us parse sentences

  • syntactic (noun + verb)

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incremental nature of parsing

  • helps circumvent limitations in WM

  • supported by Aaronson 1979

  • final words in the PHRASE not hte sentence take longer

  • that’s bc/ we pause and think

26
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garden path model of parsing

  1. syntax (grammar, structure)

  2. semantic (meaning)

27
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first step of garden path parsing

  • structural analysis based on heuristics

  • rules of thumb

  • top-down

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late closure

  • attach new words on ongoing phrase (you don’t close the gate early enough)

  • avoids new structure

  • While Susan was dressing the baby played on the floor

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minimal attachment

  • build the simplest structure

  • fewest “nodes”

  • The burglar blew up the safe with the dynamite

30
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constraint based parsing

  • parallel parsing

  • simultaneously using many types of linguistic and contextual info to create interepretation

  • not just linguistic

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examples of constraint based parsing cues include

  • word meaning

  • scene context (VW paradigm — eye movements)

  • override ambiguous structure with word meaning

    • The spy saw the cop with a revolver

    • we know you can’t see a cop through a revolver

  • memory load/prior experience

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garden path sentences are determined by

  • word meaning

  • the horse raced past the barn fell

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example of how scene context impx. parsing

  • tannenhaus 1995: apple, pencil, towel

  • ambiguous sentence was interpereted differently based on different image

  • one apple vs. two apple

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how do memory load/prior exp impact parsing

  • some constructions of sentences can be more/less familiar

  • subject-relative construction

  • objective relative construction

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subject-relative construction

  • the senator [who spotted the reporter] shouted

  • describing the subject with a phrase inserted right after

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object-relative construction

  • the senator [who the reporter spotted] shouted

  • creating a subject-verb, then inserting an object phrase in between

37
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constraint based parsing cues are

  • memory load/prior exp

  • scene/story context

  • word meaning

  • all are activated in parallel, weighted differently

38
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situation models (Zwaan 1996)

  • mental reps of events in a text or a movie

  • easier to identify the obejcts that are consistent with our situation model

  • eg. orientation of hammering nail into wall vs. floor — faster to find the floor oriented nail

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N400

  • semantic ERP component @ 400 ms

  • highly sensitive to congruency (how well does the item match its context)

  • spikes when unexpected stimulus shows up

    • eg. cats won’t eat vs. bake

    • bake spikes more than eat bc/ we don’t expect cats to bake

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N400 is evidence of

  • contextual processing evidence

  • it explains how each word fits in the context semantically

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spiking order of N400

  • unrelated spikes most

  • related spikes middle

  • expected spikes LEAST

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P600

  • mismatching syntax causes ERP drops @ 600 ms

  • eg. cats won’t eat vs. cats won’t eating

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P600 shows

  • sensitivity to semantic (n400) and structure (p600) congruency

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language development ordering

  • cooing @ 6 weeks

  • babbling @ 7 mo - consonant vowel sequences (eg. mama)

  • telegraphic speech @ 2 years - words without unnecessary sentences (eg. want food)

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statistical learning

  • regularities in speech

  • allow predictions of morphemes (6-7 months)

  • later, use prosodic cues as well (8-9 months)

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holophrastic stage

  • one word stage

  • over/underextend

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example of overextension

every tall man = dada

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example of underextension

only pet = doggie

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3 theories of language development

  • behaviorist (skinner)

  • nativist (chomsky)

  • interactionist (vygotsky)

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behaviorist theory of language acquisiton

  • all learned through operant conditioning

  • 3 elements:

    • imitation

    • reinforcement

    • practice

51
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nativist theory of language

  • innate and physiologically determined

    • believed in innate grammar

  • LAD (language acquisition device) is preprogrammed to extract grammar rules

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support for nativist theory of language

  • poverty of the stimulus

    • don’t need too much exposure to language to be able to pick it up

    • children do not hear every single possible sentence, but they can still make new ones anyways

  • critical period: a certain time period within which they pick up most of their language, biologically determined time = innate

53
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language neural correlates

  • language is mostly left centered (hancoke and hubble) (70-80% split)

  • ventral and dorsal stream

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ventral stream of language

  • map phonological (sound —> meaning) to concepts

55
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dorsal stream of language

  • map phonological to motor/sensory

  • frontal lobe

56
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what is mental imagery

sensory impressions without a sensory input

can be audio, haptic, olfactory

one of Wundt’s 3 pillars of conciousness

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premise of imagery debate

is imagery spatial or propositional (language based)

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Kosslyn image scanning task

  • drawing of island with hut, tree, rock, etc

  • farther from target = increased RT

  • evidence for spatial based imagery bc you can easily find things closer, shows they were holistically scanning

  • IV: distance from target

  • DV: RT (reflects mental rep distance)

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Pylyshyn

  • propositional view

  • abstract, symbolic propositions

  • list of relationships, not just a picture

  • eg. LEFT OF (hut, tree), RIGHT OF (tree, lake) etc

    • we see things relative to one another

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what did Pylshin believe about spatial values

epiphenomena (a feature of the relationship) between the two

61
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imagery vs. perception

  • mental images can be manipulated

  • eg. imagine elephant and rabbit, then rabbit and ant

62
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consensus about imagery and perception

  • interaction between the two

  • letter flashing task (Farah 1985)

    • create image of letter

    • flash —> letter or letter —> flash

    • accuracy is higher when the letter matches

63
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neural evidence of mental imagery

  • imagery neurons in MTL (medial temporal lobe) - kreiman 2000

    • firing rate of neurons were equal for real and imagined objects (baseball vs. face of friend)

  • V1 (striate cortex) activity responds to real and imagined stimulus

  • Kosslyn topographic mapping

    • larger imagined object = more frontal visual cortex activation

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imagery beyond visuals

  • auditory cortex activated in schizo pts. hallucinations

  • receptive language activated during hallucinations

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Kosslyn rotation task

  • proved that imagery can also be motor based

  • physical rotation then imaged rotation

  • prior physical rotation activated new areas compared to only imagining rotation

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double dissocation

  • RM — occipital and parietal lobe damage

    • recognize + draw objects

    • not from memory

    • could not make judgements about the objects (eg. grapefruit bigger than orange)

  • CK — visual agnosia

    • recognize parts of objects

    • draw objects from memory

    • could not integrate

67
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individual differences suggested by

  • galton

  • 19th century

  • varying degrees of vividness

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Kozhevnikov 2005

  • questionaire to determine visualizers vs. verbalizers

  • gave visualizers two types of imagery tests

    • spatial (paper folding task)

    • object (VVIQ - rate vividness)

  • lower paper folding score had higher VVIQ score

  • high paper folding score had more people with low VVIQ score

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degraded pictures/mental rotation

  • degraded pic: low quality pic, what’s the # —> object imagers

  • mental rotation: same or mirror image? —> spatial imagers

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cart/magnet problem

  • spatial imagers better at answering that B would see it more forward

  • concluded spatial imagery needed for many physics problems

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conclusions from Kovzhenikov

  • some people are better at one type of imagery vs. another (spatial vs. object)

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properties of a problem

  • obstacle between current and goal state

  • needs 3 things:

    • goal

    • current affairs

    • actions/operators that can get you around it

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gestalt approach

problem solving is just restructured mental approach

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how does restructuring happen per gestalt

  • insight

  • sudden realization (eureka type)

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Metcalfe and Wiebe

  • insight vs. algebra

  • participant judgements of how close they were to a solution (warmth)

  • warmth increased sharply (exponential) as they got closer to answer

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obstacles to problem solving

  • fixation

    • functional fixedness

    • mental set

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functional fixedness

only see the usual function of objects

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mental set

stuck on previous working strategy

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examples of functional fixedness

  • Maier - two strings, pull together with a chair

80
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example of mental set

  • water jug problem

  • how many steps/how do you get the easiest solution

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Newell-Simon

  • info-processing theory, stepwise

  • problem space = problem states + operators

  • problem states = series of intermediate states between current and goal

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features of Newell-Simon’s info processing theory

  • iteratively searching through problem space to identify possible operators and how to get to the next step

  • means-end analysis

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means end analysis

  • reduce difference between intl. and goal states

  • create subgoals (tower of hanoi)

  • intermediates that are closer

  • create more subgoals that are more feasible (eg. operator can be applied)

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problem solving strategies

  • insight

  • random search (randomly try the next operator)

  • hill climbing (choose the action that gets you closest)

  • analogical (transfer one experience to the other)

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2 stage process of analogical transfer

  • observe relation between source and current domain, map them

  • apply knowledge from og to this

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Radiation problem analogy

  • fortress vs. tumor, mined roads vs. surrounding tissue

  • participants figure out the same solution by mapping one problem to the other

87
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expertise

  • more experience with a certain type of problem

  • does not demonstrate BETTER problem solving skills, just faster

  • spend more time in problem analysis

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expertise and memory (chase and simon)

  • chess grandmasters could better memorize board when meaningful possible positions

  • not advantaged over novices bc/ no chunking

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expertise and organization (Chi and Glaser)

  • expert vs. novice physicists

  • novice grouped by visuals

  • physicists group by conceptual underpinnings

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expertise is

domain-specific

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creativity emphasizes

  • divergent thinking - solutions with open ended solutions

  • seen as 4 step process

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4 steps of creativity

  1. problem finding

  2. problem formulation

  3. problem solving

  4. solution implementing

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creativity and knowledge

  • existing knowledge blocks creativity

  • Smith 1993: providing examples = influences the nature of solutions

  • Ward 1994: imagine aliens — many had animalistic features

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role of incubation

  • circumvents fixations

  • unconcious problem solving

  • release from blocking (eg. functional fixedness)

  • aka forgetting fixation

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remote association task (smith/blankenship)

  • 3 seed words (arm, coal, peach)

  • locate target word (pit)

  • measures convergent thinking — unify many items into a single rep

  • incubation only impx fixation group (group that had the misleading hint)

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creativity neural correlates

  • Chi and Snyder — solve 9 dot problem

  • deactivate left ATL, activate right ATL w/ tDCS

    • left inhibits out of the box thinking

  • same level of problem solving as people who were given hint (40%)

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right ATL role

creative and problem solving skills improved

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left ATL role

streamline categories

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AUT (alt uses)

  • name as many alt uses for a brick

  • divergent thinking

  • DMN (ACC - anterior cingulate cortex) more active in idea generation

    • related to mind wandering

  • ECN (selective attention)

    • directs attention during tasks

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EEG activity in RAT

  • frontal activity before insight solutions

  • occipital lobe activity increases before non-insight solutions