6 The Speaking Brain Flashcards
(113 cards)
whats the difference between alphabetic vs logographic writing systems
size of units
alphabetic writing system
Alphabetic language - mostly European languages
Small units- each visual unit - if you have a letter or combinations of letters - form a phoneme - basic units of speech and you combine multiple phonemes together to make a word
logographic writing system
Logographic - Japanese, Chinese
Use characters- each character is a word not just a phoneme
One phoneme is also one word
Japanese kana - alphabetic - Japanese has its own alphabet - 50 different sounds and characters
Five syllables together means thank you
Characters will tell you what it means but can’t directly figure out how to pronounce these characters straight away
transparent vs opaque orthography
pronunciation
transparent orthography
italian and kana
one to one mapping
Italian and kana - they have one-to-one mapping
Five different kana letters each corresponds to a sound
Once learned mapping - its always the mapping - every time see r its always r there’d no other way to pronounce it
opaque orthography
in english no strict rules about how to pronounce things
e.g. pint
examples of transparent
italian Japan (kana)
example of small word units
European language
example of large word units
chinese
japan - kanji
visual word recognition - toy model
detection of visual features
letter recognition
visual word recognition
semantic meaning
what is the error rate for words
more accurate and faster at recognising words than non-words
what are the 4 word variables (PCA)
word length
orthography structure
word frequency
semantic coherence
word length - 90ms
Word length - how long the visual features are 3 or 10 letter word - makes a difference in terms of visual processing
Low level feature
orthographic structure - 90ms
Orthographic structure - bigram and trigram neighbours
Structure - str often appear in that particular order trigram unit frequent in English language
Cr - not very frequent
Certain letter units that appear quite often in language
Have certain structure to it - certain letters that go together
Higher level features
word frequency - 110 ms
Word frequency
Those letter that come together as a word how often do you see them
See them a lot - frequent -easier to process as done a lot before
semantic coherence - 160ms
Semantic coherence
Meaning of word
High level
erp and word length
Used the individual variables for each word
Tried to correlate the amplitudes in your evaluative potentials to the principle component values here
What this means
If looking for the effective word length
When the word length changes - then the amplitude would change accordingly - p1
E.g. the longer the word is the amplitude of that component is larger
Then we will know word length is being processed somehow at this time point quite early
erp and semantic coherence
Semantic coherence - one word has meaning one word doesnt
More meaning have or stronger meanings is
P3 - amplitude larger - this potential component is linked to the variable semantic coherence
how many ms for letter recognition
90ms
how many ms for visual word recognition
110ms
how many ms for semantic meaning
at last 160ms
how many ms for word length
90ms
how mant ms for orthographic structure
90ms
how many ms for word frequency
110ms