@cite{bale-schwarz-2026} — Natural Language and External Conventions: Re-examining per #
@cite{bale-schwarz-2022} @cite{bale-schwarz-2026} @cite{coppock-2021} @cite{davidson-1979}
Linguistics and Philosophy 49: 133--151
Key Claims #
No Division Hypothesis: Quantity division is not available as an operation for semantic composition. Natural language grammar can compose quantities via addition and multiplication, but not division.
Dual interpretation of per-phrases: When per-phrases describe quantities in simplex dimensions (weight, distance), they receive compositional interpretations within the grammar. When they describe quantities in quotient dimensions (density, speed), they are instances of math speak --- verbalizations of quantity calculus notation whose meanings come from extra-grammatical conventions.
Multiplication-only reformulation: Both @cite{coppock-2021}'s and @cite{bale-schwarz-2022} lexical entries for per can be restated using only pure numbers and multiplication, without any appeal to division.
Mixed quotation parallel: Non-compositional per-phrases are unified with mixed quotation --- expressions that simultaneously convey propositional content and quote an external symbolic system.
Diagnostics #
Two tests distinguish compositional from non-compositional per-phrases:
Substitution: Replacing unit nouns with nonsense verbalizations of the quantity calculus symbols (gee over em el for g/mL) preserves meaning for quotient uses but not simplex uses.
Sub-extraction / movement: Fronting per milliliter is grammatical for simplex uses ("Per milliliter, this sample weighs thirteen grams") but blocked for quotient uses ("#Per milliliter, the density of that sample is thirteen grams"), because math speak lacks internal syntactic structure.
A per-phrase example with its classification.
- surface : String
The surface string (e.g., "thirteen grams per milliliter").
- quantityArg : String
The quantity argument (e.g., "thirteen grams").
- perUnit : String
The unit in the denominator (e.g., "milliliter").
What dimension the phrase describes.
How the phrase gets its meaning.
- allowsSubExtraction : Bool
Can the per-phrase be sub-extracted / fronted?
- allowsSubstitution : Bool
Can unit nouns be replaced by nonsense verbalizations?
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- Phenomena.Quantification.BaleSchwarz2026.instBEqPerPhraseExample.beq x✝¹ x✝ = false
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(8-a) "This sample of liquid weighs thirteen grams per milliliter." Measure predicate weighs selects for weight (simplex). The per-phrase describes a quantity of weight, not density.
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(8-b) "The train covered thirty miles per hour." Measure predicate covered selects for distance (simplex).
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(6-a) "The density of that sample of liquid is thirteen grams per milliliter." The predicate density selects for a quotient dimension. The per-phrase verbalizes the quantity calculus expression '13 g/mL'.
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(6-b) "The speed of that train is thirty miles per hour."
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(22) "The air pressure in this tire is 33 pounds per square inch." Pounds per square inch is an idiom (speakers know it as psi without knowing what a pound-force per square inch is).
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Substitution test: replacing unit nouns with math-speak verbalizations.
(25-a) "thirteen gee over em el" verbalizes '13 g/mL' (25-b) "thirty em pee aitch" verbalizes '30 mph'
These substitutions preserve meaning for quotient uses (math speak) but produce nonsense for simplex uses.
- original : String
Original phrase.
- substituted : String
Substituted phrase (with nonsense verbalizations).
- meaningPreserved : Bool
Does the substituted phrase preserve the original meaning?
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- Phenomena.Quantification.BaleSchwarz2026.instBEqSubstitutionTest.beq x✝¹ x✝ = false
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Sub-extraction test: can the per-PP be fronted?
Compositional per-phrases have internal syntactic structure and allow movement. Math-speak per-phrases lack internal structure (like mixed quotations) and block sub-extraction.
- base : String
Base sentence.
- fronted : String
Fronted version.
- grammatical : Bool
Is the fronted version grammatical?
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- Phenomena.Quantification.BaleSchwarz2026.instBEqSubExtractionTest.beq x✝¹ x✝ = false
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(29) Simplex: sub-extraction OK.
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(27) Quotient: sub-extraction blocked.
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(30) Simplex: sub-extraction OK.
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- Phenomena.Quantification.BaleSchwarz2026.extract_distance = { base := "The train covered thirty miles per hour", fronted := "Per hour, the train covered thirty miles", grammatical := true }
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(28) Quotient: sub-extraction blocked.
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Simplex per-phrases allow sub-extraction.
Quotient per-phrases block sub-extraction.
Substitution is possible for math speak, not for compositional uses.
The two diagnostics align: sub-extraction and substitution give opposite results. Compositional uses: sub-extraction OK, substitution fails. Math speak uses: sub-extraction fails, substitution OK.
The Bale & Schwarz generalization: dimension type determines diagnostics.
For any per-phrase example, if it describes a simplex dimension then it allows sub-extraction and blocks substitution; if it describes a quotient dimension then it blocks sub-extraction and allows substitution.
This is a DERIVED prediction, not a stipulation: we prove it holds for ALL examples in our data, so adding a new example that violates the pattern would break the theorem.
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Every simplex-dimension example allows sub-extraction.
Every quotient-dimension example blocks sub-extraction.
Every simplex-dimension example blocks substitution.
Every quotient-dimension example allows substitution.
The full biconditional: sub-extraction ↔ simplex, substitution ↔ quotient.
Connection to the 2022 SALT paper #
The anaphoric theory of per originates in @cite{bale-schwarz-2022}. This 2026 paper extends it with the No Division Hypothesis, the math-speak analysis, and the substitution/sub-extraction diagnostics.
The simplex-dimension examples in this file (ex8a: "weighs thirteen grams per milliliter") are exactly the class formalized in BaleSchwarz2022 with full compositional derivations and dimension tracking.
The 2026 paper's simplex/compositional classification matches the
2022 paper's anaphoric theory: simplex-dimension per-phrases are
compositional (not math speak), and the 2022 paper provides their
compositional derivation via perAnaphoric.
The 2022 paper's unit sensitivity presupposition (perPresup)
extends to the 2026 analysis: the simplex examples here predict
that the entity's volume must meet the per-unit threshold.