language - word recognition Flashcards
learning objectives lecture 3
-understand the uniquness point of a word
-understand the basics of a cohort model
-access , selection and integration stages
-the distinction between early and late versions of the model
-understand that there are other models of spoken word recognition
-template matching ,TRACE etc
what happens after phoneme recognition? after we recognise specific sounds
-theres a number of models on this-one is cohort model
early models of word recognition
-template matching model
template matching models
-targets stored as templates (a store in your brain with all the words you know)
-when you get an incoming speech stream what your doing is comparing the words in that incoming speech stream to the template of words you know, once you find a match that’s how identify a word
-a template is an exact description of the sound or words being searched for
-identification occurs when a match is found
problems with template matching approach
-far too much variation in speech eg dialect,basic pitch,speech rate
-variation in how words are prnounced - far too muvh variation in speech eg dialect, basic, speech rate, youd have to store a lot of differnt version of words in this template
early models of word recognition
analysis by synthesis
-when you listen to speech you recognise it by generating what you would have to do to pronounce that speech yourself
-when we hear speech we produce or synthesise a succession of speech sounds until we match what we hear
-largely discredited as unclear how this might work
problems with analysis by synthesis models
-although there is evidence motor areas in the brain are activated when we perceive speech, whether we recognise speech this way is another question
-in children comprehension skills always ahead of production skills (kids can understand more words than they can produce eg)(from a developmental perspective it not clear how that would work)- if you were using the ways that you synthesis language to understand language why would it be that comprehension is ahead of production
-people who have trouble producing speech paraphasia, but can still understand speech, so makes it unclear how this model would work
key debate in word recognition today
top down vs bottom down processing
definitions
top down processing - processing that involves knowledge coming from higher levels , eg,context, experience , expectations ,predictions
bottom up processing
processing that is data driven i.e directly influenced by environmental stimuli, so stimulus triggers a sequence of actions that then results in word recognition
key debate in word recognition- top down versus bottom up processing
debate
-for example to what extent does sentence context help us recognise a word
-do we make predictions based on the context of a sentence to help us recognise a word or is it just the incoming speech stream that activates the process of word recognition
cohort model
-developed by
-key terms cohort and uniqueness
-developed by William Marslen Wilson and his colleagues 1970s onwards
key terms
cohort- the set of candidates that a heard word could possibly be
uniqueness point: the point at which a word can be distinguished uniquely from other similar words
early and later versions of the cohort model differ slightly
uniquness point
the more you hear of a word being pronounced the fewer the candidates there are for what that word might be
/c/ canoe, cocoon,karate ,confess,confetti,cook
/cuh/-cocoon,karate,confess,confetti
/conf/ -confess, confetti
/confess/ - confess
demonstration
late uniqueness words and early uniqueness words
late uniqueness eg
-ballot,palace,fillet,locust,relic,
early uniqueness eg
-breakfast, dungeon,biscuit,onion,sergeant,trumpet
-you hear the exact same info for these words in the demonstration, it sounds like you hear more with the early uniq words
-late uniq words, at the point that they were cut off in the demonstration, there are still many words they could have been
-early uniq words, by the time you get the cut off point there are no other words it could be/not many competitors
cohort model
access stage
selection stage
integration stage
access stage
-perceptual representation used to generate a candidate set of words it might hear eghear k sound the cohort is developed (set of words it could be )
selection stage
-one item is chosen from this set ,it does this when the uniqueness point of the word is reched and theres no more competitors
integration stage
-semantic and syntactic properties of word are accessed, what the meaning of the word is etc
first two stages are prelexical (before word recogniton happens)
last stage is postlexical (after word recognition happens)
earlier versions of cohort model
-sensory information (i.e the sounds of the word) and context information (eg the rest of the sentence ) are used at the same time
-an element of top down processing
-we only listen to the whole word when there’s no useful sentence information
late and early uniqueness words
explain in terms of cohort model
late uniqueness words
ballot - ballad,balacalava,balnace,ballerina,ballast
locust-local,locomotion,locum,locust
so these words have many competitors so a large cohort which means they are stuck at the access stage
early uniqueness words
breakfast
dungeon
no competitors at the cut off point
can proceed to selection and integration stages
cohort model early version
-activation of words is all or nothing
-words are either in the cohort or out the cohort (no in between)
-activation of words is all or nothing
-once a word is eliminated from the cohort it cannot be reintroduced
-this means that if the beginning of a word is mispronounced, the cohort model cannot recognise it
-eg intented word is pleasent but speaker says bleasent, cohort model wont recognise it as due to the b sound pleasent is already eliminated