Word and Sentence Meaning

15 important questions on Word and Sentence Meaning

Semantic features and decomposition

A word can be understood by cutting up the concept (decomposition) into semantic features (meaning characteristics)

Problems with semantic features

Not all concepts can be captured by features
- Vagueness
  • Of features (ostriches can fly a little bit)
  • Of categories: is a bat not rather like a bird

Problems with semantic network

Makes the wrong predictions:
A sparrow is a bird is verified faster than An ostrich is a bird
A bat is an animal is verified faster than A bat is a mammal


Representation of abstract concepts
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Types or utterances: Representative

an assertion that can or cannot be true

Types or utterances: Directive

Attempt to get something done, like information collection or execution of an action

Types or utterances: Commissive

Promise

Types or utterances: Expressive

Psychological state 'I an sorry' (also representative)

Types or utterances: Declarative

Changes reality 'You are fired'

Sense of reference of assertions

Understanding a sentence is not the determination of reference, but of sense. Only after sense has been established, it becomes possible to determine the reference by comparison to reality.

Propositions vs. Embodied representation

Zwaan, Stanfield and Yaxley (2002):
  • Experiment 1: decide if the picture matches the sentence or not --> slower responses to pictures when they mismatched preceding sentences.
  • Experiment 2: name the object in the picture --> slower naming responses to picture after a mismatching preceding sentence.

Understanding text (CI model)

Kintsch & van Dijk: derive propositions from text

Coherence graph (CI model)

represent the links between propositions (microstructure) --> remove irrelevant information, generalize, add inferences (macrostructure)

Theories on inference: Minimalism

  • Readers/listeners restrict themselves to information in the text
  • Only inferences on the basis of locally present or easily available information are made
  • Forward inferences are not automatically made

Theories on inference: Constructionism

  • Readers/listeners try to develop a coherent representation of the text
  • Inferences are made when information is missing that is necessary for coherence
  • Forward inferences are made when they are very predictable or important to the goal of the reader

Syntactic information (pronomina)

Eye movement registration while the participants were reading about a running event:
  • M / M : John beats Pete because he is in shape
  • M / F : John beats Petra because he is in shape

The results indicate that gender information is used directly

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