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Bibliographic Details
Main Author:	Panner, Maks
Format:	Recurso digital
Language:
Published:	Zenodo 2026
Online Access:	https://doi.org/10.5281/zenodo.18425745
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Table of Contents:

This paper develops an anchor-based account of English participle predication and linking-verb selection. The central empirical contrast is familiar but under-modeled: a participial predicate licensed under the copula (e.g., be + broken) typically carries stronger world-commitment than the same participle licensed under a perceptual or evidential anchor (look/seem/appear/sound/feel). We argue that this is not a syntactic accident and not reducible to lexical stipulation. Instead, anchors are analyzed as operators that stabilize a state description relative to an information channel (perceptual, inferential, reportative, affective), and the anchoring channel controls (i) commitment strength, (ii) complement selection, and (iii) scope interactions with negation and polarity. We report frequency and collocational profiles of anchor lemmas and their local complement signatures. We then present a worked formalization with an enriched event→state anchoring variant for result participles, and we derive concrete predictions in the form of compatibility matrices and acceptability stimulus kits. This manuscript makes a defensible and nontrivial contribution by reframing English linking verbs (be, look, seem, appear, sound, feel) as a channel-parameterized state-anchoring operator whose grammar can be evaluated via an executable signature assay rather than posthoc description. The strongest novelty is the coupling of (i) a compositional anchor operator with (ii) a discrete Anchor×ComplementType compatibility matrix treated as a falsifiable constraint system, and (iii) a theorem-level consequence (the No-true-cancellation result) that forces a specific class of scope/repair predictions distinguishing the proposal from “bleached copula,” “raising-only,” and scalar evidential alternatives. Importantly, the paper goes beyond schematic predictions by reporting execution outputs from the Table2→Table7 recovery mapper—quantifying matrix–profile concordance (mismatch ≈0.94% with uncertainty) and a robust association signal (χ² with effect size)—thereby operationalizing “anchor geometry” as a measurable object that can be exported to independent corpora, acceptability experiments, and computational evaluation. While the present quantitative results are explicitly proof-of-concept (derived from the manuscript’s extracted inventory rather than an external corpus), the combination of formal forcing consequences + measured recovery performance + ready-torun protocol positions the work as a methodologically novel semantic assay with clear discriminants and a credible path to immediate external validation.

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