Week 9

Question 1

Describe Shadowing

Answer 1

Participant listens to recorded speech and tries to repeat it as fast as possible. Word comprehension and recognition required. - One syllable behind speaker approx. 250ms

Question 2

What are the First Generation models of Lexical Access

Answer 2

FOBS (serial, modular) - bins, frequent closer to top
Logogen (Parallel, modular) - Frequent =low thresh.
Recency= Temp. Higher activation
Context= contributes to activation (doesn’t influence auditory)

Question 3

Name Second Generation model of Lexical Access

Answer 3

TRACE ( Parellel, fully interactive) -

COHORT (Parallel, Modular) - Word onset is important

Question 4

Experiemental Methods for Investigating Word Recognition

Answer 4

Lexical Decisions, Primed Lexical Decisions, Gating, Phoneme Monitoring

Question 5

Frequency Effects

Answer 5

Differences b/w frequent and non- frequent words, Measures:
Object Naming: Name picture faster for more frequent words
Phoneme Monitoring: Press button when you hear sound. People press slower following low frequency vs high frequency
* Word Frequency is determined by consulting a corpus*

Question 6

Do lexical decision tasks represent normal language processing?
(Two Stage Model for LD)

Answer 6

No, easy cases without Lexical Access (book vs Zasd). Hard cases require Lexical Access. A STRATEGY can be used. We must replicate and extend with different methods.

Question 7

Lexical Access Models must account for:

Answer 7

Frequency, Context, recency, Typicality

Question 8

Does Lexical Decision reflect Lexical Access Experiment Results: 8 words from 9 categories:
Lexical Decision
Naming
Category Verification (Say category, is it in it or not)

Answer 8

LD: High Frequency effects, typicality effect
N: Smaller Frequency effects, Typicality Effect
CV: No Frequency Effect

Question 9

Describe Lexical Decision Task:

Answer 9

Perceiver view stimulus and decides if real or not

Response Latency is measured

Question 10

Priming:

Answer 10

If lexical access is faster after a word, we can say that word primes other words. All about connections.

Question 11

Types of Primes

Answer 11

Category members, antonyms, functional relationships, shared perceptual properties.

Question 12

Serial Model:

Answer 12

The processor can consider only one candidate at a time.