LING 333 W4: Psycholinguistic

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Last updated 5:16 AM on 10/3/26
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61 Terms

1
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how do offline methods help?

  • measure the final outcome of conscious thought

  • no temporal access to millisecond-by-milisceond parsing


2
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what are the offline methods formats

questionnaire, acceptability rates, end-of-sentence comprehension probes

3
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offline methods = worried about final product

4
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what are online methods for?

  • tap automatic, unconscious parsing operations in real time

  • highly time-senstivie protocols


5
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what are the 2 types of formats online methods collect?

behavioural and neuroimaging

6
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what are the behavioural formats for online methods

reaction times (LDT), reading dwell times (SPR, Eye-tracking)

7
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what are the neuroimaging formats for online methods

ERPs, EEG, fMRI

8
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What are the 3 processes of Garden-pathing?

  1. Initial Parse

  2. processing breakdown

  3. reanalysis (reduced relative clause)


9
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term image
10
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Garden-pathing

incremental structural misinterpretation followed by effortful reanalysis

  • think of something but you change direction for analyses


11
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Lexical decision taks (LDT)

  • participants see a letter of strings/word on screen and judge whether its a real word

  • stimuli can be purely visual or cross-modal (audio + text)


12
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What is LDT measuring

  • responses recorded via keyboard or dedicated millisecond response box (how long u take to answer)


13
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What are the core dependent variables of LDT

Accuracy and reaction time

14
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accuracy (LDT)

proportion of correct decisions

15
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reaction time (LDT)

latency from stimulus onset to button press

16
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<p></p>


A

(might be bc their network is repeated so often so its faster realisation)

17
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priming lexical

will affect your rxn time

18
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whats the theoretical takeaway of semantic priming effect

encountering a related prime spreads activation across semantically associated nodes, lowering the retrieval threshold for target recognition

19
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what does the self-paced reading (SPR) use

moving window paradigm

20
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moving window paradigm

  • sentence appears masked (with —-)

  • pressing a space bar or button reveals one word/region at a time while re-masking the previous one


<ul><li><p>sentence appears masked (with —-)</p></li><li><p>pressing a space bar or button reveals one word/region at a time while re-masking the previous one </p></li></ul><p></p>
21
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what does the SPR measure

measures dwell time per individual word/region

  • stimulates progressive reading while yielding millisecond-accurate fixation estimates


22
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spillover effect

processing difficulty at a critical word frequency shows up 1-2 words later, bc button-press motor actions lag cognitive reanalysis

23
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Evaluation of SPR PROS

low cost, highly portable, easy to script, sensitive to processing load

24
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evaluation of SPR CONS

lower ecological validity (readers can’t make regressive saccades naturally)

25
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PsyToolkit

  • lightweight, browser-based execution

  • simple scripting languages for rapid experiment design

  • ideal for running remote online participant pools

  • completely free and open-access


26
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PsychoPy

  • Flexible Python library + Builder GUI

  • Sub-millisecond timing precision on local laboratory displays

  • integrates seamlessly with eye-trackers and EEG triggers

  • supports Pavlovia for browser hosting


27
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eye-tracking in reading

infrared video cameras can track corneal reflections and pupil position

28
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what are the key measures in reading

  1. fixations

  2. saccades

  3. regressions


29
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fixations

pauses on specific words

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saccades

rapid jumping b/w fixation points

31
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regressions

backward saccades indicative of parsing breakdown/reanalysis

32
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visual world paradigm

you can measure so many things in 1 trial compared to other

33
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what are the types of results you can get from visual world paradigm?

one-referent context

two-referent context

34
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one-referent context

listeners look to the empty to the empty towel before hearing “in the box”

35
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two-referent context

listeners immediately interpret “on the towel” as a modifier identifying which apple to move

36
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N100

negative peaking post-stimulus onset

37
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N100/P200

phonetic oddball detection

ex: bike, baby, balloon, pike

indexes early sensory detection of acoustic/phonetic deviance

38
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N400

semantic anomaly

  • semantic integration difficulty


ex: whipped cream tastes anxious

39
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P600

syntactic anomaly

  • structural reanalysis/repair


ex: the spoiled child throw the toy

40
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term image

B

41
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LDT

LDT

<p>LDT</p>
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SPR

SPR

<p>SPR </p>
43
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Eye-tracking

ET

<p>ET </p>
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ERPs

ERPs

<p>ERPs </p>
45
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columns (RStudio)

used ti reference and manipulate data

  • numbers, text, dates or logical values


46
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rows (RStudio)

individual observations, cases or records

  • w/ a unique index or identifier, typically starting from 1


47
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dataframes (RStudio)

different data types within the same structure, making them versatile for handling diverse datasets

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dimensions (RStudio)

numbers of rows and columns

49
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empty dimensions (RStudio)

data.frame()

  • function w/ no arguments

    • initialising a data frame before adding data


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initialisation (RStudio)

u specify a variable and set its initial value

  • variable used as a counter during the loop


51
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iteration (RStudio)

after each iteration of the loop, the counter variable is updated according to a specified increment or decrement

52
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how to display # of rows

head(file_name, #)

53
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when there’s a Freq of 0

means that the word doesn’t exist in the corpus; (typically add 1)

54
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to bring dataset into RStudio

read_csv(file_name)

55
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once you give something a vector/name, you always have to run it again to double-check

56
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how to specific which column

with a $

ex: length(ldf_lt$Length)

57
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how to get specific elements

[#:#]

58
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what to do if you want to change a value

ex: ldt_data$Freq[1] ← 9

59
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OG csv doesn’t change, just in R

60
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why do we use i

because it will help us code/measure from the same row (which R doesn’t normally do; it does it as a list)

61
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logical → integer → numeric → character