Cross-Categorial Measurement Semantics #
@cite{wellwood-2015} @cite{kennedy-2007}
@cite{wellwood-2015} argues that all comparative sentences contain a covert much
morpheme whose semantics is a measure function μ assigned by a variable
assignment A:
⟦much_μ⟧^A = A(μ)
The measure function must be monotonic: for all α, β in a
part-whole ordered domain, if α ≺^Part β then μ(α) ≺^Deg μ(β). This is
@cite{schwarzschild-wilkinson-2002}'s monotonicity condition, and corresponds exactly
to StrictMono / MereoDim / CSW's admissibleMeasure in linglib.
The key insight is a three-way cross-categorial parallel:
- Nominal: mass nouns (CUM) → measurable by
much; count nouns (QUA) →many - Verbal: atelic VPs (CUM) → measurable by
much; telic VPs (QUA) →many - Adjectival: gradable adjectives predicate of states with mereological
structure → measurable by
much; non-gradable adjectives predicate of atomic, unordered states → not measurable
Dimensionality differences (VOLUME vs TEMPERATURE vs DURATION) follow from
what is measured (entities, events, states), not from which expression
introduces the measurement (§3.4). This is formalized as DimensionallyRestricted:
a domain is dimensionally restricted iff any two admissible measure functions
agree on the comparative ordering — which holds exactly for linear orders
(GA state domains) and fails for partial orders with incomparable elements
(entity/event domains where weight and volume can disagree).
Key Identifications #
- @cite{wellwood-2015}'s monotonicity condition =
StrictMono=MereoDim= CSW'sadmissibleMeasure - @cite{wellwood-2015}'s measurability condition =
CUM(mereological structure) - @cite{wellwood-2015}'s counting condition =
QUA(quantized reference) - @cite{wellwood-2015}'s dimensional restriction =
LinearOrderon the measured domain - @cite{wellwood-2015}'s comparative = CSW's
statesComparativeSem=μ b < μ a
Interpretive Note #
@cite{wellwood-2015} does not explicitly label GA state domains as "cumulative" in
Krifka's technical sense (closure under join). She argues they "form
mereologies" — ordered domains with proper parts. We classify
them as .cumulative because the structural consequence is the same:
mereological structure enables monotonic measurement by much.
Cross-categorial mereological classification (§2–3).
Predicates across nominal, verbal, and adjectival domains fall into two classes based on their mereological properties:
cumulative: domain has mereological structure with proper parts, enabling monotonic measurement bymuch. Includes mass nouns (CUM), atelic VPs (CUM), and gradable adjectives (states form mereologies).quantized: domain lacks non-trivial part-whole structure for measurement. Count nouns (QUA), telic VPs (QUA), and non-gradable adjectives (atomic, unordered states).
- cumulative : MereologicalStatus
- quantized : MereologicalStatus
Instances For
Equations
- One or more equations did not get rendered due to their size.
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Map mereological status to Kennedy scale boundedness.
CUM → no inherent endpoint → open scale (→ blocked degree modifiers) QUA → inherent endpoint → closed scale (→ licensed degree modifiers)
This connects cross-categorial classification to Kennedy's
scale structure, via the existing cumBoundedness/quaBoundedness
annotations in Core.MereoDim.
Equations
Instances For
The toBoundedness mapping agrees with the existing mereological
scale annotations in Core.MereoDim.
Admissibility constraint on measure functions introduced by much.
much_μ has the denotation ⟦much_μ⟧^A = A(μ) —
simply a variable-assignment lookup returning a measure function μ.
The admissibility condition on that measure function requires
strict monotonicity (order preservation):
for all α, β ∈ D_≤Part, if α ≺^Part β then μ(α) ≺^Deg μ(β)
MuchSem μ captures this felicity condition, not much's denotation
itself. It is StrictMono, equivalently MereoDim.toStrictMono or
CSW's admissibleMeasure.
Equations
Instances For
MuchSem is definitionally equal to CSW's admissible measure
constraint. Both require strict order preservation.
This makes the–CSW identification explicit: changing
either definition breaks this theorem.
Every MereoDim witness provides a MuchSem proof.
MereoDim bundles StrictMono in a typeclass; MuchSem is the
unbundled predicate.
Telicity determines mereological status: atelic VPs have CUM domains (activities, states), telic VPs have QUA domains (achievements, accomplishments).
Equations
- Semantics.Lexical.Measurement.telicityToStatus Semantics.Tense.Aspect.LexicalAspect.Telicity.atelic = Semantics.Lexical.Measurement.MereologicalStatus.cumulative
- Semantics.Lexical.Measurement.telicityToStatus Semantics.Tense.Aspect.LexicalAspect.Telicity.telic = Semantics.Lexical.Measurement.MereologicalStatus.quantized
Instances For
Number feature determines mereological status: mass nouns have CUM domains; count nouns (sg/pl) have QUA domains.
Note: plural count nouns are CUM at the plurality level ("Plural predicates are cumulative"), but their measurement is restricted to NUMBER (counting atoms). At the lexical level, count nouns are QUA.
Equations
- Semantics.Lexical.Measurement.numberToStatus Semantics.Lexical.Noun.Kind.Dayal2004.NumberFeature.mass = Semantics.Lexical.Measurement.MereologicalStatus.cumulative
- Semantics.Lexical.Measurement.numberToStatus Semantics.Lexical.Noun.Kind.Dayal2004.NumberFeature.sg = Semantics.Lexical.Measurement.MereologicalStatus.quantized
- Semantics.Lexical.Measurement.numberToStatus Semantics.Lexical.Noun.Kind.Dayal2004.NumberFeature.pl = Semantics.Lexical.Measurement.MereologicalStatus.quantized
Instances For
Gradable adjectives predicate of states that "form mereologies", enabling monotonic measurement by much.
Interpretive note: does not explicitly use the label CUM for
GA state domains. She argues they have mereological structure (ordered
domains with proper parts). We classify them as .cumulative because
the structural consequence is identical: mereological structure enables
monotonic measurement.
Equations
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Non-gradable adjectives (wooden, triangular) predicate of "atomic,
unordered objects". Their state domains
lack both mereological structure and comparative ordering, making
them not measurable by much.
This is stronger than QUA in the strict technical sense: QUA merely
requires no P-proper-parts on a partial order, while non-GA states
lack ordering entirely. We classify them as .quantized as the
closest approximation.
Equations
Instances For
Vendler classification determines mereological status via telicity. States and activities are atelic → cumulative; achievements and accomplishments are telic → quantized.
Equations
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Telicization shifts measurement status from cumulative to quantized.
Adding a goal PP to an atelic VP ("ran" → "ran to the park") changes
the predicate's mereological status, blocking extensive dimensions
(DURATION, DISTANCE) and restricting to NUMBER. This connects
grammar-shifts-measurement claim to the existing
AspectualProfile.telicize operation.
Atelicization shifts measurement status from quantized to cumulative.
The progressive on a telic VP ("built the house" → "was building the house") restores extensive dimensions.
A domain is dimensionally restricted when any two admissible measure functions (StrictMono maps to ℚ) agree on the comparative ordering of all elements.
This captures claim that GAs lexically fix a single dimension while nouns/verbs allow contextual dimension selection:
- GA state domains: linearly ordered → any two StrictMono μ₁, μ₂ agree on the comparative → dimensionally restricted
- Entity/event domains: partially ordered with incomparable elements → different ExtMeasures (weight vs volume) can disagree → not dimensionally restricted
The structural content: dimensional restriction holds iff the
ambient preorder is total (a LinearOrder). The forward direction
is linearOrder_dimensionallyRestricted; the converse is witnessed
by any two incomparable elements with disagreeing measures.
Equations
- Semantics.Lexical.Measurement.DimensionallyRestricted α = ∀ (μ₁ μ₂ : α → ℚ), StrictMono μ₁ → StrictMono μ₂ → ∀ (a b : α), μ₁ a < μ₁ b ↔ μ₂ a < μ₂ b
Instances For
Linear orders are dimensionally restricted: the comparative ordering is uniquely determined by the ambient order, regardless of which admissible measure function is chosen.
Proof: on a linear order, StrictMono reflects the strict order
(by trichotomy + irreflexivity), so μ₁ a < μ₁ b ↔ a < b ↔ μ₂ a < μ₂ b.
A StatesBasedEntry over a linearly ordered state domain is
dimensionally restricted: the comparative meaning is independent
of which admissible measure function is chosen.
This explains CSW's observation (72): scale-mates like confident
and certain share a background ordering, and any admissible
measure on that ordering gives the same comparative truth conditions.
The comparative is determined by the ordering alone, not by which
adjective introduces it.