Must . . . stay . . . strong!

By Kai von Fintel, Anthony S. Gillies. 2010

220 citations recorded by the source corpus.

It is a recurring matra that epistemic must creates a statement that is weaker than the corresponding flat-footed assertion: It must be raining vs. It’s raining. Contrary to classic discussions of the phenomenon such as by Karttunen, Kratzer, and Veltman, we argue that instead of having a weak semantics, must presupposes the presence of an indirect inference or deduction rather than of a direct observation. This is independent of the strength of the claim being made. Epistemic must is therefore quite similar to evidential markers of indirect evidence known from languages with rich evidential systems. We work towards a formalization of the evidential component, relying on a structured model of information states (analogous to some models used in the belief dynamics literature). We explain why in many contexts, one can perceive a lack of confidence on the part of the speaker who uses must.

Subfields: Artificial Intelligence, Language and Linguistics

View Paper: https://www.semanticscholar.org/paper/63c6424f241b2e32a69c47bc4d8cb5ecca9942bb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Alda Mari
  2. Anastasia Giannakidou
  3. Daniel Lassiter
  4. Maziar Toosarvandani
  5. Nate Charlow
  6. Fabrizio Cariani
  7. Stefan Kaufmann

In Language and Linguistics

  1. Daniel Lassiter
  2. Maziar Toosarvandani
  3. Nate Charlow
  4. Fabrizio Cariani
  5. Alda Mari
  6. Anastasia Giannakidou

Citations in the corpus