Documentation

Linglib.Phenomena.Negation.Studies.Rett2026

Expletive Negation: Typology and Licensing #

@cite{greco-2018} @cite{jin-koenig-2021} @cite{kennedy-mcnally-2005} @cite{napoli-nespor-1976} @cite{rett-2026} @cite{cepeda-2018}

Expletive negation (EN) is truth-conditionally vacuous negation that appears in specific grammatical environments cross-linguistically. @cite{rett-2026} unifies the licensing conditions: EN is licensed exactly in ambidirectional constructions — those where negating an argument doesn't change truth conditions because MAX picks the same informative bound from both B and ¬B.

The Ambidirectionality Generalization #

ConstructionAmbidirectional?Licenses EN?Source
before✓ (50 langs)@cite{jin-koenig-2021}
after@cite{rett-2026}
while@cite{rett-2026}
until@cite{rett-2026} §5
comparative✓ (6+ langs)@cite{jin-koenig-2021}
fear/worry✓ (39 langs)@cite{jin-koenig-2021}

High vs Low EN @cite{greco-2020} #

Two types of EN with different syntactic positions and licensing:

Two syntactic types of expletive negation.

High EN appears above TP, targets non-truth-conditional content (exclamatives, surprise negation). It is obligatory where licensed.

Low EN appears below TP (VP-level), targets truth-conditional content in ambidirectional environments. It is optional and triggers a manner implicature (evaluativity).

Instances For
    Equations
    • One or more equations did not get rendered due to their size.
    Instances For

      A cross-linguistic EN licensing datum.

      Instances For
        Equations
        • One or more equations did not get rendered due to their size.
        Instances For

          @cite{jin-koenig-2021} survey data #

          Cross-linguistic distribution from a 722-language survey (EN attested in 74 languages across 37 genera):

          Equations
          • One or more equations did not get rendered due to their size.
          Instances For
            Equations
            • One or more equations did not get rendered due to their size.
            Instances For
              Equations
              • One or more equations did not get rendered due to their size.
              Instances For
                Equations
                • One or more equations did not get rendered due to their size.
                Instances For
                  Equations
                  • One or more equations did not get rendered due to their size.
                  Instances For

                    @cite{greco-2018}: Italian until-clauses license both EN and weak NPIs.

                    Equations
                    • One or more equations did not get rendered due to their size.
                    Instances For

                      Italian wh-exclamatives: high EN.

                      Equations
                      • One or more equations did not get rendered due to their size.
                      Instances For

                        Italian surprise negation (@cite{greco-2020}, §2–4): non merges in the CP layer (above FinP) rather than in the TP-internal NegP. High EN — obligatory, non-truth-conditional, does not license weak NPIs.

                        Equations
                        • One or more equations did not get rendered due to their size.
                        Instances For

                          Brazilian Portuguese surprise negation: é que não construction. High EN — obligatory, non-truth-conditional.

                          Equations
                          • One or more equations did not get rendered due to their size.
                          Instances For
                            Equations
                            • One or more equations did not get rendered due to their size.
                            Instances For

                              High EN blocks weak NPIs: in our sample, every high-EN construction has licensesWeakNPIs = false. Low EN may or may not license NPIs (Italian prima che and finché do).

                              The ambidirectionality–EN correspondence #

                              @cite{rett-2026} proposes that low EN is licensed iff the embedding construction is ambidirectional. We formalize this as a correspondence between an enumeration of EN-relevant constructions (with their theory-derived ambidirectionality classification) and the empirical record of which constructions license EN cross-linguistically.

                              The ambidirectionality classification is derived from:

                              Constructions relevant to EN licensing. Each has a theory-derived ambidirectionality status and an empirically-observed EN status; Rett's claim is that these match.

                              Instances For
                                Equations
                                • One or more equations did not get rendered due to their size.
                                Instances For

                                  Theory-derived: is the construction ambidirectional? Backed by the ambidirectionality theorems in TemporalConnectives and Comparative.

                                  • before: ambidirectional on closed intervals (cf. before_ambidirectional in TemporalConnectives.lean)
                                  • after: NOT ambidirectional — MAX on complement is different (cf. after_not_ambidirectional)
                                  • while: NOT ambidirectional — overlap with B ≠ overlap with Bᶜ (cf. while_not_ambidirectional)
                                  • until: ambidirectional — shares endpoint structure with before
                                  • comparative: ambidirectional on degree relatives (cf. comparative_boundary in Comparative.lean)
                                  • fear: ambidirectional — DERIVED from negative valence in preferential attitude semantics (@cite{villalta-2008}). Fear-type verbs activate both p (content of attitude) and ¬p (content of desire), satisfying @cite{jin-koenig-2021}'s propositional attitude licensing condition (§5.5, 13a). See fear_ambidirectional_from_valence.
                                  Equations
                                  Instances For

                                    Rett's generalization: a construction licenses EN iff it is ambidirectional. Verified exhaustively over all EN-relevant constructions.

                                    This is the central empirical claim of @cite{rett-2026}: the ambidirectionality classification (derived from the semantics of MAX on closed intervals) perfectly predicts the cross-linguistic distribution of EN (observed in @cite{jin-koenig-2021}).

                                    Deriving fear's ambidirectionality #

                                    The fear case of isAmbidirectional is NOT an ad hoc stipulation — it follows from the negative valence of fear-type predicates in preferential attitude semantics (@cite{villalta-2008}).

                                    @cite{jin-koenig-2021} §6.1.1 shows that FEAR triggers entail both Operator₁(p) (content of X's attitude) and Operator₂(¬p) (content of X's desires). This dual-inference property makes the complement ambidirectional: fear p and fear ¬p share the same worry-worthy possibility.

                                    The bridge: negative valence in Preferential.lean corresponds to the propositional attitude licensing condition in @cite{jin-koenig-2021}.

                                    Fear's ambidirectionality is grounded in negative valence: negative-valence predicates activate dual propositions (p and ¬p), which makes their complements ambidirectional.

                                    This connects three layers:

                                    1. Preferential.fear has valence = .negative (attitude semantics)
                                    2. Negative valence → dual inference (@cite{jin-koenig-2021} §5.5)
                                    3. Dual inference → ambidirectionality (@cite{rett-2026})

                                    Connecting Fragment entries to EN predictions #

                                    @cite{rett-2026} predicts that EN in comparatives is sensitive to scale type. The mechanism:

                                    We connect this to AdjModifierEntry.scaleType from the English adjective fragment.

                                    An adjective licenses EN in its comparative iff its scale is non-closed: at least one endpoint is open, so the degree relative has a single shared informative bound.

                                    • .open_: both ends open (tall, expensive) → one shared bound ✓
                                    • .lowerBounded: min exists, no max (wet) → one shared bound ✓
                                    • .upperBounded: max exists, no min (dry) → one shared bound ✓
                                    • .closed: both bounds exist (full, empty) → negation can target the other bound → ambidirectionality fails ✗
                                    Equations
                                    Instances For

                                      licensesComparativeEN is equivalent to ¬ Boundedness.closed: EN is licensed iff the scale is NOT fully closed. This connects the EN prediction to the existing scale infrastructure.

                                      EN as pragmatic enrichment #

                                      When EN is used in an ambidirectional environment, it is truth-conditionally vacuous but pragmatically meaningful. The use of the marked negated form (vs the unmarked positive form) triggers a manner implicature (see MannerEffect in Adjective.Comparative):

                                      1. French avant que... ne: "before ¬B" → "well before B" (temporal distance reading; @cite{cepeda-2018}, @cite{krifka-2010b}).

                                      2. Italian comparative + non: "più alto di quanto non sia" → "much taller than" (evaluative reading; @cite{napoli-nespor-1976}).

                                      3. Negative verbs (doubt, fear, worry): These are "ambidirectional" embedding verbs — fear that p and fear that ¬p share the same worry-worthy proposition, because the feared event's mere possibility (whether p or ¬p) triggers the attitude. EN in complements of fear is attested in 39 languages.

                                      A manner implicature datum: EN triggers evaluativity in a construction.

                                      Instances For
                                        Equations
                                        • One or more equations did not get rendered due to their size.
                                        Instances For
                                          Equations
                                          • One or more equations did not get rendered due to their size.
                                          Instances For
                                            Equations
                                            • One or more equations did not get rendered due to their size.
                                            Instances For
                                              Equations
                                              • One or more equations did not get rendered due to their size.
                                              Instances For
                                                Equations
                                                • One or more equations did not get rendered due to their size.
                                                Instances For

                                                  All manner implicature data entries with evaluative readings have effect.evaluative = true.

                                                  Connecting EN constructions to negator types #

                                                  @cite{tsiakmakis-2025} classifies EN hosts as NEG₁ (standard negation masked) or NEG₂ (modal, intrinsically non-negative). The EN constructions formalized here map onto Tsiakmakis's host categories:

                                                  ENConstructionENHostCategoryNegatorType
                                                  beforetemporalExpressionsNEG₁
                                                  untiltemporalExpressionsNEG₁
                                                  comparativecomparativesNEG₁
                                                  fearemotiveDoxasticPredicatesNEG₂
                                                  after(no EN)
                                                  while_(no EN)

                                                  The key structural insight: all ambidirectional constructions that are NEG₁ hosts have their negative semantics masked by independent factors (verbal aspect, operator spell-out), while the one NEG₂ host (fear) has a genuinely different marker — a modal, not negation.

                                                  Constructions with EN are exactly those with a host category.