Documentation

Linglib.Phenomena.Presupposition.Studies.Warstadt2022

@cite{warstadt-2022}: Presupposition Triggering and Utterance Utility @cite{warstadt-2022} #

Empirical domain types and truth conditions for Warstadt's genus-species presupposition model. Two examples demonstrate that presupposition triggering emerges from pragmatic reasoning about utterance utility.

Green Card Example (Table 1) #

Three worlds, five utterances, two QUDs. The central prediction: under the "need visa?" QUD, "not green card" triggers the genus inference (Tom is non-US), but under "free drink?" QUD, no such inference arises.

Family-Genus-Species Example (Table 2) #

Four worlds in a taxonomic hierarchy (Olympic sprinter ⊂ runner ⊂ athlete), seven utterances, non-uniform priors. Species-level negation ("not Olympic sprinter") triggers stronger accommodation than genus-level ("not runner").

Green Card Example (Table 1) #

World states for the green card scenario.

  • usCitizen: Tom is a US citizen (no green card possible)
  • gcHolder: Tom is a non-US citizen with a green card
  • nonUS: Tom is a non-US citizen without a green card
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        Utterances for the green card scenario.

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              QUDs for the green card scenario.

              • needVisa: Does Tom need a visa? Partition: {usCitizen, gcHolder} vs {nonUS}
              • freeDrink: Can Tom get a free drink? Partition: {gcHolder} vs {usCitizen, nonUS}
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                  QUD projection: two worlds are equivalent iff they give the same QUD answer.

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                    PrProp decomposition of "green card": presupposes non-US, asserts has GC.

                    This captures the traditional presupposition analysis. The paper's key contribution is showing that this presupposition structure EMERGES from RSA reasoning over Boolean truth conditions, without being stipulated.

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                      The Boolean meaning of "green card" decomposes as presupposition ∧ assertion.

                      Family-Genus-Species Example (Table 2) #

                      World states for the family-genus-species hierarchy.

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                            Utterances for the family-genus-species scenario.

                            Seven utterances: three positive descriptions at each taxonomic level, their Boolean negations, plus silence.

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                                  Green Card: Context Types #

                                  A context is a subset of GCWorlds.

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                                          All 2³ = 8 contexts (subsets of GCWorld).

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                                            Family-Genus-Species: Context Types #

                                            A context is a subset of FGSWorlds.

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                                                  All 2⁴ = 16 contexts.

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                                                        PrProp Connection #

                                                        The Boolean meaning of "green card" decomposes as presupposition ∧ assertion.