Triggering Presuppositions
Paper · 2021 · Philippe Schlenker
Summary
Most presupposition research asks how presuppositions of complex sentences follow from those of their parts (the Projection Problem). Schlenker addresses a different question, the Triggering Problem. Given an expression's "bivalent content" (true vs. non-true), which entailments become presuppositions and which stay at-issue? He argues against treating this as a purely lexical fact, for two reasons. First, iconic gestures nobody has seen before still produce presuppositions; replacing a verb with an "unscrew from the ceiling" gesture presupposes the bulb is on the ceiling. Second, ordinary phrases can presuppose things they do not entail. "Pull the trigger" said of a hunter presupposes the rifle is loaded, but only because world knowledge supplies that inference. The proposed rule is that an entailment p of a content pp' counts as presupposed if, when people typically learn pp', they already knew p beforehand. The rule rests on how facts are discovered, not on discourse strategy. It links triggering to projection, since presuppositions must be trivial in their local context. The account is a sketch, limited to propositional cases.
Key points
- The formal setting is a trivalent semantics after Heim 1983, where presupposition failure yields a third value #. Triggering is framed as dividing the "non-true" region into false vs. #.
- The proposed rule is probabilistic: P(believe at t-1 that p | believed context C at t-1 and acquired pp' at t) ≥ a threshold a.
- Evidence includes pro-speech gestures, ASL classifier predicates (consultant Jonathan Lamberton) and contextual or complex triggers. One gestural minimal pair compares PICK-UP-GUN-SHOOT, where the gun is visible on the table and is presupposed, with PULL-GUN-SHOOT, where the gun is hidden in a jacket and is likely not presupposed.
- Projection is the main diagnostic for presupposition:
- inferences survive questions, negation, if and might;
- under none they yield universal inferences;
- this separates them from scalar implicatures, which yield existential ones (Chemla 2009).
- Scope and open issues:
- Definites, pronouns, too, only/even and clefts are excluded.
- The probabilities and threshold still need experimental measurement.
- The rule must be extended to predicate-type triggers.
- Its excessive context-sensitivity needs fixing.
- Funding: ERC grant 788,077 (Orisem).
Interesting ideas
- I1. Treat presupposition as the output of a rule applied to an expression's full truth-conditional content, rather than a property listed per word; this generalizes to novel or rare expressions.
- I2. A presupposition can come from the expression plus context, not from the words alone: hunter + pull the trigger brings in "rifle loaded" via common sense.
- I3. The "epistemic precondition" test asks whether p is usually known before learning the whole event; this gives a principled way to split old from new information.
- I4. A projection battery (negation, question, conditional, might, none-quantifier) cleanly separates presuppositions from at-issue content and scalar implicatures.
- I5. The author warns that deriving triggering from communicative usage risks circularity, since usage data may simply reflect expressions that already carry lexical presuppositions.
For Mova
How these ideas could serve Mova, our small open language model — its files, stages and tests:
- I1 (frames): crate prag could derive presuppositions from a frame's precondition slots (e.g., VerbNet pre-states) instead of a hand-maintained trigger list, keeping each derivation explainable.
- I2 (world): when building the text world, add background states that compiled knowledge guarantees for a given event-in-context, and mark them as presupposed rather than asserted.
- I3 (world): use it to place pre-event states (stopped smoking → previously smoked) earlier on the event timeline as already-established facts.
- I4 (learn): auto-generate embedded variants of test sentences as negative controls, checking that presupposed facts persist in the world model while at-issue ones correctly drop out.
- I5 (learn): when LLM teacher tiers label presuppositions, validate on nonce or paraphrased items so that the labels are not just echoes of familiar trigger words.
Institutions
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 9,086 worksArtificial Intelligence · 8,889 worksArts and Humanities · 9,296 worksLanguage and Linguistics · 9,206 worksPhilosophy · 211 works
🧭 Topics 1Research subjects and languages the work is about.Implicature · 72 works
Cite
Cite as Philippe Schlenker. 2021. Triggering Presuppositions. Glossa: a journal of general linguistics.
@article{schlenker2021triggering,
title = {{Triggering Presuppositions}},
author = {Philippe Schlenker},
journal = {Glossa: a journal of general linguistics},
year = {2021},
doi = {10.5334/gjgl.1352},
url = {https://doi.org/10.5334/gjgl.1352}
}References
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- TO CITE THIS ARTICLE: Schlenker, Philippe. 2021. Triggering Presuppositions. Glossa: a journal of general linguistics 6(1): 35. 1–28. DOI: https://doi.org/10.5334/ gjgl.1352 ↗
- Submitted: 18 June 2020 Accepted: 24 January 2021 Published: 05 April 2021 find
- COPYRIGHT: © 2021 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/ licenses/by/4.0/. Glossa: a journal of general linguistics is a peer-reviewed open access journal published by Ubiquity Press. ↗
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