Week 6 (Word Recognition) Flashcards

1
Q

The evolution of reading (brief overview)

A

200,000 years: First evidence of anatomically modern humans
100,000 years: Evolution of language
5,000 years: Evidence of first writing systems

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2
Q

Similarities of written language to spoken language

A

Many of the same skills used, e.g,
-Language skills
-Memory
-Executive function
-Attention
-Theory of mind

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3
Q

Differences of written language to spoken language

A

-Differ in physical form and the social function of the message
-Additional skills needed for both

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4
Q

Differences in physical form between spoken and written language

A

Auditory Modality VS Visuospatial Modality

Temporary VS Permanent

Additional cues VS Less access to additional cues

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5
Q

Differences in complexity + speed between spoken and written language

A

-We use more complex and rare
words in written context
-We speak at 150 WPM, but read at 200-300 WPM

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6
Q

Word superiority effect

A

-Participants perform more accurately when stimulus is a word, than when it is a random letter string

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7
Q

Phoneme

A

The smallest unit of sound that can alter meaning

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8
Q

Grapheme

A

Basic unit of written language, a letter or combination of letters corresponding to a phoneme

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9
Q

Grapheme-Phoneme Correspondence

A

-The spelling-sound mapping rules of the language
-Rules are not simple one-to-one mappings

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10
Q

Regularity and Consistency

A

Regularity
-Degree to which the particular graphemes of a word correspond to particular phonemes

Consistency
-Is a particular spelling typically pronounced in the same way

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11
Q

Heteronym

A

-A type of homograph (words with the same spelling)
-Both the meaning AND the pronunciation of a word is different despite using the same spelling
E.G
*Don’t desert me here in the desert
*I read the key reading yesterday but I might have the read it again

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12
Q

Homophone

A

-Words which are pronounced the same but spelt differently
E.G
*Am I allowed to speak aloud
*They’re going to put their shopping over there

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13
Q

What influences the speed of word recognition

A

-Word frequency (commonly occurring words are recognised quicker)
-Word regularity (Regularly spelled words are read more quickly than irregular words)
-Lexical neighbourhoods (Number of words possible to create by changing only one letter)
-Imageability (How easy it is to create a visual image of words)

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14
Q

Ways to measure word recognition

A

-Fluency/efficiency of reading
-Lexical decision taks
-Semantic decision tasks
-Eye tracking tasks
-Neurophysiological

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15
Q

Homophone effect

A

Semantic categorisation, does the word belong in a semantic category, yes or no.

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16
Q

Strong phonological theory

A

The core lexical representations that underpin visual word recognition are phonological, and thus, phonological processing is a mandatory part of the recognition process

17
Q

What are the two routes of the Dual-route cascaded model of reading

A

Lexical route = Accessing mental lexicon (a store of known words) to retrieve pronunciation of the word

Sub-lexical route= Uses grapheme-phoneme rule system to convert written words into sounds.

18
Q

Problems with the Dual-route cascaded model of reading

A

-Even in irregular words, sounds must be active to some degree (yacht)
-How much is the print-speech route active when we read?

19
Q

Support for the Dual-route cascaded model of reading

A

-Very high rates of accuracy in reading both regular and irregular words
-Simulates several aspects of word reading in skilled readers

20
Q

The triangle model of reading

A

-Connectionist system suggests no need for separate mechanisms of word reading
-Parallel distributed processing: All sensory information and all stored knowledge used interactively to read all words
-Unlike dual-route, can model learning how to read
-‘Rules’ are not pre-specified
-Used to model different levels of success

21
Q

Comparing Dual-route and Triangle model

A

Computation
-DRC is two mechanisms (rules and lexical), the influence of regularity.
-Triangle is a single mechanism that spreads activation across simple neutron-like processing units, influence of consistency.

Learning
-DRC is not implemented: its an adult-state model
-For Triangle model, learning is a crucial aspect of the model

Cross Linguistic Applications
-N/A for DRC
-Triangle moel applicable for Chinese

Intervention Studies
-N/A for DRC
-Harm, McCandliss & Seidenberg (2003) for Triangle model