W4: Words, word recognition and lexical decision tasks Flashcards

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1
Q

What are words?

A

Arbitrary symbols

There are a few exceptions: onomatopoeia that are designed to sound like the thing e.g. boom

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2
Q

What are lexical decision tasks?

A

Need to decide whether words are real words or not

Reaction time is measured in milliseconds

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3
Q

Reaction times in LDT are made up of what?

A

Lexical access (if the word is available in lexicon)

Decision making

Tapping computer key

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4
Q

What kind of trade-off is there in LDT and are there any gender differences?

A

Speed-accuracy trade off

Women are more likely to be accurate, men are more likely to be fast

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5
Q

What types of tasks are there in LDTs?

A

Semantic categorisation

Priming

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6
Q

What is semantic categorization?

A

Accessing what you know about an object - you need to think about its meaning and how it relates to other things

E.g. are the following objects bigger or smaller than a teacup

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7
Q

Priming in a LDT?

A

Presenting a priming stimulus before the target

When you see the word ‘nurse’ it becomes activates and this activation spreads to related words
Then, because of this activation recognition of other words such as doctor are quicker

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8
Q

What is stimulus-onset asynchrony (SOA)?

A

The time between the priming stimuli and the target stimuli

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9
Q

What factors affect word recognition (5)?

A

Physical interference

Frequency, familiarity and age of acquisition

Word length

Neighbouring effects (similar words)

Priming

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10
Q

How might physical interference affect word recognition?

A

Stimulus degradation
distortion
contrast reduction (background noise)

Backwards masking
presenting another stimulus immediately after target stimulus

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11
Q

How does frequency affect word recognition?

A

It’s about how often a word tends to appear in print/conversation

There are slight differences for written and spoken language (some things are said more than they are written)

Quicker and more accurate responses to high than to low-frequency words

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12
Q

However, frequency does not always equal…

A

Familiarity

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13
Q

How is frequency related to word length?

A

More common words tend to be shorter

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14
Q

How does age of acquisition affect word recognition?

A

Words learnt at an earlier age are responded to quickly

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15
Q

How does word length affect recognition?

A

Expect: longer response time for longer words

There is some word length effect, especially if the word is 5-12 letters long

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16
Q

Explain neighbourhood effects in word recognition

A

For low-frequency words specifically, words are responded to faster/more accurately if they have a large neighbourhood size (words similar but only vary in one sound or one letter)

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17
Q

Word status in word recognition?

A

People respond faster/more accurately to real words than to non-words

More plausible-looking non-words are responded to more slowly than less plausible looking nonwords (take time to realise they aren’t a word if they look like they may be whereas can respond quickly if they really do not look like a word)

18
Q

How does repetition priming work?

A

It is easier to identify a word the second time you see it

19
Q

What is form-based priming?

A

When a word is primed by a similar-looking word

Form - From

20
Q

What is semantic priming?

A

Easier to identify a word if you’ve seen a word related in meaning

Bread – Butter

21
Q

What are the 3 arguments as to how morphologically complex words are stored in the lexicon?

A
  1. Full listing
  2. Obligatory decomposition
  3. Dual-pathway
22
Q

What is the full listing hypothesis?

A

Each word has a separate entry (lexeme) in the lexicon

Each variant has its own representations (glass, glasses, glassy, glasshouse)

23
Q

What is the obligatory decomposition hypothesis?

A

Words are stored in root/base form and stripped of any affixes

Have a general rule and a list of exceptions
Eg. WALK and all of the bits that go with it ‘s’, ‘er’ and ‘ed’
Obliged to break words down into little bits

To produce them, you access individual morphemes and combine them to make a word
To comprehend: strip word of its affixes and activate the root word plus bound morphemes

24
Q

What is the dual pathway hypothesis?

A

Most words are stored in their root form with rules for adding inflections and other affixes

However, some common derived/inflected forms have their own listing

Bit of both of the other two theories

25
Q

What are the models of lexical access (3)?

A

Serial search (Forsters model)

Parallel access( Morton’s model & Modern interactionist models)

26
Q

Explain serial search models of lexical access

A

You encounter a word
Then consult the lexicon - is it familiar?
Retrieve information on that word

Only one lexical entry scanned at a time

27
Q

What is Forsters serial search model?

A

Each word is present in only one place in the lexicon BUT they can be accessed from various ‘access files’

These access files can be orthographic (visual), phonological (sound) and semantic/syntactic (meaning and grammar) - but can only use one at a time

Search to derive words location and partial info

THEN you need to search for words unique location and full information in the MASTER LEXICON

28
Q

What is the master lexicon?

A

Organized into bins - access files direct search to the most appropriate bin

Entries are searched one by one until the exact match to the perceptual input is found

Most frequent entries are on the top

29
Q

Explain Morton’s logogen model (parallel access model)

A

Words are accessed by being accessed to a certain threshold

Each word/morpheme has its own logogen - these logogens count the number of features that a lexical entry shares with the input

Info from the stimulus accrues in parallel - these logogens race to reach the activation threshold
Activation reaches one logogens pre-determined threshold and the word is recognized

  • Logogen returns to resting level slowly
30
Q

Word frequency in parallel access models?

A

Frequently used words have representations with lower thresholds so recognised quickly

31
Q

Explain the connectionist model

A

Computer models of cognitive processing with nodes and connections between these nodes

Organisation: strength of the connection between nodes, based on past association. If they are strong they are likely to excite and activate others

32
Q

Explain how words change in rapid speech and a study that relates to this

A

The speed of connected speech is fast, words are not clearly articulated yet we understand

  • sometimes we need context to understand
  • word boundaries are lost in fluent speech

Pollack and Pickett
- Spliced individual words from fluent speech and replayed to participants in isolation.
Listeners found them unrecognisable

33
Q

How long do pauses during speech last? and how often do they occur?

A

200-250 ms

Occur every 5-8 words, occupying 40-50% of speaking time

34
Q

If the planning demands on the speaker are reduced, do pauses decrease?

A

If reading aloud from a script, pauses are reduced but still occupy 20% of speech

Suggests that pauses are necessary outside of planning

35
Q

Pauses may be unfilled (e.g. silence), but also filled. What can be used to fill a pause?

A

Repetition
False starts
Parenthetical remark ‘you know…, like..’

36
Q

What are the two kinds of planning that may constitute pauses?

A

Macroplanning

Microplanning

37
Q

What is microplanning?

A

May have difficulty retrieving individual word - this is more common before low-frequency words

(tip-of-the-tongue phenomenon)

38
Q

What is macroplanning?

A

Difficulty determining syntax and context

Seems to determine more pauses than microplanning difficulties

39
Q

What is prosody?

A

The acoustic cues accompanying the spoken sentence including:
Intonation (changes in pitch)
Word stress (emphasising different words)
Pauses (help to understand sentences)
Vowel lengthening

40
Q

Are we taught prosody?

A

No, no one teaches us this. We just pick it up

41
Q

What can prosody help with?

A

Sentence processing
Signals whether the speaker is happy, sad, angry, sarcastic
Disambiguates meaning

42
Q

What is parsing and why is it important?

A

Parsing is the assignment of words in a sentence to their linguistic categories (noun, verb, adjectives)

Vital for COMPREHENSION: What makes an alcoholic (noun vs. adjective) drink (verb vs. noun)
And PRODUCTION: the present (adjective vs. noun) studies (noun vs. verb) results

We need to know what the words are in order to understand