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Linglib.Theories.Syntax.Minimalist.ApplicativeDiagnostics

Applicative diagnostics #

@cite{pylkkanen-2008}

Cluster-based diagnostic classifier for the high/low applicative distinction (@cite{pylkkanen-2008}, Table 2.1). Three diagnostics:

  1. Can unergative verbs be applicativized? (Ch. 2 §2.1.2)
  2. Can static verbs be applicativized? (Ch. 2 §2.1.2)
  3. If the language has English-style depictive secondary predicates, is the applied argument available for depictive modification? (Ch. 2 §2.1.3)

The diagnostic infrastructure lives in Theories/ because it is reusable: any applicative-typology paper using Pylkkänen's framework (Wood 2015, Bruening 2021, Cuervo 2003 extensions) consumes the same classifier. Per-paper instantiation lives in Studies files.

Cluster-based classification #

A high applicative passes all tests; a low applicative fails all tests. Test 3 is conditional — when a language lacks English-style depictives (e.g., Korean) or has too-broad depictives (Venda, Albanian), the test is inapplicable (.inapplicable), not "fails." The classifier ignores inapplicable tests and classifies on the cluster of applicable ones.

This is stricter than an OR-based classifier (which would misclassify a language passing one test by accident). Languages that don't pattern cleanly with either cluster yield none, requiring further investigation rather than a forced classification.

The result of running a single Pylkkänen diagnostic on a language.

  • passes : ApplDiagnosticResult

    The diagnostic is applicable and the language passes (the construction in question is grammatical).

  • fails : ApplDiagnosticResult

    The diagnostic is applicable and the language fails (the construction is ungrammatical).

  • inapplicable : ApplDiagnosticResult

    The diagnostic is inapplicable in this language — e.g., Korean lacks English-style depictives entirely, so Test 3 cannot be run. Distinct from .fails: an inapplicable test contributes no classification evidence.

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      A bundle of Pylkkänen Table 2.1's three diagnostic results for a given language. Test 3's inapplicable value handles the language-conditional cases (Korean lacks depictives; Venda and Albanian have too-broad depictives to test).

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          The list of diagnostic results in a bundle, for cluster checks.

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            Cluster-based classification (@cite{pylkkanen-2008}, Table 2.1): a language has high applicatives iff every applicable diagnostic passes; low iff every applicable diagnostic fails; otherwise the pattern is mixed and the classifier returns none, requiring further investigation rather than forcing a classification.

            Note: this returns Option ApplType collapsed to .high or .lowRecipient — distinguishing recipient from source low applicatives requires additional diagnostics (transfer directionality, §2.2 + §2.3) not in Table 2.1.

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              Soundness theorems #

              The classifier returns .high only on all-pass bundles, .lowRecipient only on all-fail bundles. Mixed bundles and empty/all-inapplicable bundles yield none. Soundness is checked structurally on the four canonical bundle shapes below.

              A bundle with all three results .passes classifies as high.

              A bundle with all three results .fails classifies as low.

              A bundle with mixed results does not classify.

              Inapplicable tests are excluded from the cluster: a bundle with one .inapplicable and two .passes still classifies as high.