L9 - meaning Flashcards

1
Q

Computational view on extracting meaning from language

A

Computational view on cognition;

Understanding words and their relations by semantic networks

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2
Q

Embodied/situated view on language

A

Words gets meaningful by grounding them to the outside world (e.g.: chair is a chair because you can sit on it). We perceptually simulate words to understand them.

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3
Q

Chinese room argument (Searl)

A

English-speaking person receives Chinese characters – he uses rule book to link Chinese characters to output. Humans don’t translate arbitrary symbols into other arbitrary symbols. The Chinese room argument therefore challenges the symbolic use of language.

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4
Q

Examples for embodied view on language

A

faster processing by up-down processing, motor simulations of words, metaphors in our language, eye movements respond to read text, fast processing when being in same modality

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5
Q

Arbitrary words

A

Word does not say anything about its meaning

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6
Q

Amodal words

A

Words are not associated with specific modality

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7
Q

Abstract word

A

Word is not concrete and there is no reference to a specific object

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8
Q

Embodied cognition theory

A

Without symbol grounding, language is not meaningful since symbol use is abstract, amodal and arbitrary and not meaningful in itself. Images on the other hand are concrete, multimodal and non-arbitrary and are hence meaningful in itself since they are grounded.

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9
Q

icon

A

there is a direct relationship between a sign, the outside world and its meaning (e.g.: portrait, image)

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10
Q

index

A

Sign has a indirect relationship with its meaning (e.g.: smoke – fire)

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11
Q

symbol

A

Relation between sign and its meaning is conventional (e.g.: wedding ring – marriage)

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12
Q

Icon vs. symbol - groundedness

A

Icons: most grounded, least arbitrary
Symbols: least grounded, most arbitrary

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13
Q

Theories on language acquisition (4)

A

Environment: language depends on environment and training (pos. reinforcement)
Brain: we have an innate language acquisition device
Computations: brain is like artificial neural network
Memory: grounding perspective – acquiring language by linking words to environment

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14
Q

Cognitive laziness of humans

A

Humans are cognitively lazy (e.g.: we are fooled by illusions, are bad at simple memory tasks,…)

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15
Q

sound and meaning

A

There is an arbitrary relationship between a sign and its meaning (in Chinese vs. Dutch nasals at first position have different valence)

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16
Q

Word order and meaning

A

We can predict order of words based on their frequencies

17
Q

Context and meaning

A

Understanding meaning of words by looking at its context (similar words are clustered together)

18
Q

Latent semantic analysis

A

=Distributional semantics: using statistics on text to analyze their semantic relationships

19
Q

Use of language statistics

A

Predicting spatial relations, modalities, location of body parts, valence, temporality, geographical locations,…

20
Q

Symbolic Interdependency Hypothesis

A

Language processing is both symbolic by it’s linguistic company and embodied by it’s perceptual simulations.