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two properties of language
hierarchical
rule based
unique to humans
creation of psycholinguistics
Chomsky: language is productive (produce new combinations), comprehension and representation are partially innate
levels of langugage analysis
phoneme (smallest unit, eg. [th] in thin
morpheme (combinations of phonemes, eg. )
word
phrase
sentence
language development milestones
babbling @ 7 mo
multi word phrases @ 2 yo
Goldin-Meadow 1972
children will create their own language (deaf)
productivity/generative nature of language
produce infinite combinations
completely novel sentences
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
coarticulation
overlap in phonemes across contexts makes you pronounce it differently
eg. p in pot vs. spot
look @ spectrographs to determine presence of coarticulation
categorical perception
only able to percieve distinctions in the sounds that we speak
eg. ta vs. tha in Hindi
speech segmentation
how we separate individual words without actual pauses
insertion of pauses based on our prior knowledge (top-down)
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
morpheme
smallest unit of sound that has meaning
eg. re in repay, recall
means to REDO something
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
sound-meaning mapping is
random,
lexicon
LTM for words
lexical decision task (meyer and schevendalt 1971)
determine if a presented word is indeed a word
POE vs. familiarity (lexical access)
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
ambiguity of words
homonyms
polysemes (same word, many meanings —> diamond - baseball diamond, gem, shape)
how do we understand polysemes?
biased/balanced dominance
in the context, what is most likely? depends on FREQUENCY
biased dominance
tin as a metal is more common than tin as container
therefore more frequent use = first to come to mind
balanced dominance
cast as in plaster vs. cast as in actors
both are equally common therefore you need context to determine which is which
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
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)
phrase structure
hierarchical org of sentences
helps us parse sentences
syntactic (noun + verb)
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
garden path model of parsing
syntax (grammar, structure)
semantic (meaning)
first step of garden path parsing
structural analysis based on heuristics
rules of thumb
top-down
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
minimal attachment
build the simplest structure
fewest “nodes”
The burglar blew up the safe with the dynamite
constraint based parsing
parallel parsing
simultaneously using many types of linguistic and contextual info to create interepretation
not just linguistic
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
garden path sentences are determined by
word meaning
the horse raced past the barn fell
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
how do memory load/prior exp impact parsing
some constructions of sentences can be more/less familiar
subject-relative construction
objective relative construction
subject-relative construction
the senator [who spotted the reporter] shouted
describing the subject with a phrase inserted right after
object-relative construction
the senator [who the reporter spotted] shouted
creating a subject-verb, then inserting an object phrase in between
constraint based parsing cues are
memory load/prior exp
scene/story context
word meaning
all are activated in parallel, weighted differently
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
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
N400 is evidence of
contextual processing evidence
it explains how each word fits in the context semantically
spiking order of N400
unrelated spikes most
related spikes middle
expected spikes LEAST
P600
mismatching syntax causes ERP drops @ 600 ms
eg. cats won’t eat vs. cats won’t eating
P600 shows
sensitivity to semantic (n400) and structure (p600) congruency
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)
statistical learning
regularities in speech
allow predictions of morphemes (6-7 months)
later, use prosodic cues as well (8-9 months)
holophrastic stage
one word stage
over/underextend
example of overextension
every tall man = dada
example of underextension
only pet = doggie
3 theories of language development
behaviorist (skinner)
nativist (chomsky)
interactionist (vygotsky)
behaviorist theory of language acquisiton
all learned through operant conditioning
3 elements:
imitation
reinforcement
practice
nativist theory of language
innate and physiologically determined
believed in innate grammar
LAD (language acquisition device) is preprogrammed to extract grammar rules
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
language neural correlates
language is mostly left centered (hancoke and hubble) (70-80% split)
ventral and dorsal stream
ventral stream of language
map phonological (sound —> meaning) to concepts
dorsal stream of language
map phonological to motor/sensory
frontal lobe
what is mental imagery
sensory impressions without a sensory input
can be audio, haptic, olfactory
one of Wundt’s 3 pillars of conciousness
premise of imagery debate
is imagery spatial or propositional (language based)
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)
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
what did Pylshin believe about spatial values
epiphenomena (a feature of the relationship) between the two
imagery vs. perception
mental images can be manipulated
eg. imagine elephant and rabbit, then rabbit and ant
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
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
imagery beyond visuals
auditory cortex activated in schizo pts. hallucinations
receptive language activated during hallucinations
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
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
individual differences suggested by
galton
19th century
varying degrees of vividness
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
degraded pictures/mental rotation
degraded pic: low quality pic, what’s the # —> object imagers
mental rotation: same or mirror image? —> spatial imagers
cart/magnet problem
spatial imagers better at answering that B would see it more forward
concluded spatial imagery needed for many physics problems
conclusions from Kovzhenikov
some people are better at one type of imagery vs. another (spatial vs. object)
properties of a problem
obstacle between current and goal state
needs 3 things:
goal
current affairs
actions/operators that can get you around it
gestalt approach
problem solving is just restructured mental approach
how does restructuring happen per gestalt
insight
sudden realization (eureka type)
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
obstacles to problem solving
fixation
functional fixedness
mental set
functional fixedness
only see the usual function of objects
mental set
stuck on previous working strategy
examples of functional fixedness
Maier - two strings, pull together with a chair
example of mental set
water jug problem
how many steps/how do you get the easiest solution
Newell-Simon
info-processing theory, stepwise
problem space = problem states + operators
problem states = series of intermediate states between current and goal
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
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)
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)
2 stage process of analogical transfer
observe relation between source and current domain, map them
apply knowledge from og to this
Radiation problem analogy
fortress vs. tumor, mined roads vs. surrounding tissue
participants figure out the same solution by mapping one problem to the other
expertise
more experience with a certain type of problem
does not demonstrate BETTER problem solving skills, just faster
spend more time in problem analysis
expertise and memory (chase and simon)
chess grandmasters could better memorize board when meaningful possible positions
not advantaged over novices bc/ no chunking
expertise and organization (Chi and Glaser)
expert vs. novice physicists
novice grouped by visuals
physicists group by conceptual underpinnings
expertise is
domain-specific
creativity emphasizes
divergent thinking - solutions with open ended solutions
seen as 4 step process
4 steps of creativity
problem finding
problem formulation
problem solving
solution implementing
creativity and knowledge
existing knowledge blocks creativity
Smith 1993: providing examples = influences the nature of solutions
Ward 1994: imagine aliens — many had animalistic features
role of incubation
circumvents fixations
unconcious problem solving
release from blocking (eg. functional fixedness)
aka forgetting fixation
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)
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%)
right ATL role
creative and problem solving skills improved
left ATL role
streamline categories
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
EEG activity in RAT
frontal activity before insight solutions
occipital lobe activity increases before non-insight solutions