What is memory access like for word recognition?
Is it like a search where you look through your lexicon to find the right word? No, that is impossible because it would take too long, and we know word recognition is fast
In reality, word recognition is through a parallel activation representation/computation. As sounds are produced, our linguistic systems have phoneme and morpheme detectors that are activated as information is being said.
Rapid and happens in “real time”
The Activation Model in Spoken Word Recognition
As you are hearing sounds (phonemes), the brain will activate multiple words that match the input for a brief amount of time
For example, we hear the phoneme /k/ and our brain triggers all the possible words that start with /k/ like cap, cat, cad. Then we get more information with /a/ phoneme and it keeps those words activated. Until we hear the last phoneme /t/, and now have only cat activated.
What does the activation model predict?
Lexical competition among phonological neighbors
Parallel Activation of Homophones
What are phonological neighborhoods?
Words that are only one phoneme away from each other
There are crowded phonological neighborhoods and sparse phonological neighborhoods
What is a crowded phonological neighborhood?
Neighborhoods (a word) that contain a large amount of phonological neighbors
Like cat (cap, cad, hat, pat, mat, fat, kit, cut, etc)
They should be hard to identify in a crowd
(THINK: Where’s Waldo?)
What is a sparse phonological neighborhood?
Neighborhoods (a word) that contain a small amount of phonological neighbors
Like stench (bench, wench, stent)
They should be easy to identify
Neighborhood density effects
Experimental results demonstrating that it is more difficult and time-consuming to retrieve a word from memory if the word bears a strong phonological resemblance to many other words in the vocabulary than if it resembles only a few other words.
Experiment examining Neighborhood and Frequency Effects in Word Recognition (Luce, 1986)
Procedure
Participants had to try to recognize (report) 800 consonant-vowel-consonant words, presented in static noise.
The words consisted of 200 words that were low spoken word frequency and from a dense neighborhood; 200 words that were high spoken word frequency and from a dense neighborhood; 200 words that were low spoken word frequency and from a sparse neighborhood; and 200 words that were high spoken word frequency and from a sparse neighborhood.
Findings:
It was the easiest to recognize high-frequency word in a sparse neighborhood (64%).
It was the hardest to recognize low low-frequency word in a dense neighborhood.
Homophones
Two or more words that have separate, non-overlapping meanings but sound exactly the same (even though they may be spelled differently)
EX. Watch, verb vs noun meaning
Homographs
Words that are spelled exactly the same but have separate, non-overlapping meanings (and may or may not sound the same)
Cross-modal priming task
Parallel Access of Meaning (Homophones) Study
Procedures: Cross-modal priming task
Hear a sentence ending with a homophone that either supports the noun meaning or verb meaning of the word watch.
While hearing the sentence, you are seeing a word on a screen. The word is either semantically related to the verb (look) or the noun (time) of the homophone watch or an unrelated word completely (dart).
The words are also presented at two different times; they are either presented immediately after the sentence ends or presented 250 msec after the sentence.
Judge if the word is real or not.
Findings:
They are faster to respond to both semantically related words compared to the one not semantically related when presented immediately after the sentence ends.
They are faster to respond to the semantically related word when the word is flashed 250 msec after the sentence ends.
Conclusion:
This supports the idea that people consider both meanings (parallel accessing for word recognition) before picking one meaning based on the context. There is parallel access when the semantically related words for both means are chosen right after the homophone is uttered, but when there is time (250 msec) to consider the context, then they are faster when looking at the word that is semantically related to that specific context
Suggests bottom-up activation followed by contextual selection
Suggests timing matters
How is word recognition activation over time?
Cohort Theory of Spoken Word Recognition
TRACE Theory
Cohort Theory of Spoken Word Recognition
Hearing the initial phonemes of a word will activate in parallel a cohort of words that share the initial onsets.
Further phonemes restrict the cohort of words.
Until the uniqueness point is reached, it is not possible to choose a single word that is being said.
Cohort competitors
Words with overlapping onsets
Uniqueness point
The point at which there is enough information in the incoming speech stream to allow the hearer to differentiate a single word candidate from its cohort competitors
Study Supporting Cohort Theory
Procedures: Visual World Paradigm
Track eye movements of listeners as they hear instructions like: “Put the breaker above the square,” with a chess setup present. There were clip-art images of a beaker (target word), a beetle (cohort competitor), and a carriage (unrelated word).
So, trying to see what people look at while the sentence is being uttered.
Findings:
All the participants eventually get to the target word.
People are more likely to look at a cohort competitor than an unrelated word.
When the target word (beaker) is uttered, both the competitor and target are fixated around the same proportion. But by the offset of the target word then people diverge and more are proportionally looking at the target.
What are the limitations of the Cohort theory?
Recognition of a word depends on hearing the first phoneme correctly so it is fragile
What is an alternative theory to the cohort theory?
TRACE theory
TRACE theory
The interactive activation model between levels
Works on continuous speech
Activates candidate words as speech unfolds, including middle words, rhymes
Thus allowing it to work even if we don’t hear the first phoneme well
Thus we have late activation of rhymes and initial activation of onset cohort
Evidence for TRACE
Procedures:
Track eye movements of listeners as they hear instructions like: “Put the breaker above the square,” with a chess setup present. There were clip-art images of a beaker (target word), a beetle (cohort competitor), a speaker (rhyme), and a carriage (unrelated word).
So, trying to see what people look at while the sentence is being uttered.
Findings:
All the participants eventually get to the target word.
When the target word (beaker) is uttered, both the competitor and target are fixated around the same proportion, but there is also some proportion looking at the rhyme. The rhyme effect is greater than unrelated, later and smaller than the cohort competitor as predicted by TRACE
TRACE computer model output
Proves TRACE because its computer model is highly consistent to the behavior of human eye movements with 93% of variance accounted for
Semantic priming
The phenomenon by which hearing or reading a word partially activates other words that are related in meaning to that word, making the related words easier to recognize in subsequent encounters
Lexical decision task
An experimental task in which participants read strings of letters on a screen that might either be actual words or nonsense words. Subjects press one button if they think they’ve seen a real word, or a different button to signal that the letters formed a nonsense word. Response times for real words are taken as a general measure of the ease of recognizing those words under specific experimental conditions