Floating or Suggesting Ideas? A Large-Scale Contrastive Analysis of Metaphorical and Literal Verb-Object Constructions
Prisca Piccirilli, Alexander Fraser, Sabine Schulte im Walde

TL;DR
This study conducts a large-scale contrastive analysis of metaphorical and literal verb-object pairs in English, revealing construction-specific differences and heterogeneity in their linguistic and cognitive features.
Contribution
It introduces a comprehensive, feature-rich comparison of metaphorical and literal VO usage at scale, highlighting the diversity and complexity of their distributional patterns.
Findings
Literal contexts have higher lexical frequency and cohesion.
Metaphorical contexts show greater affective load and imageability.
Most VO pairs exhibit non-uniform effects, indicating heterogeneity.
Abstract
Metaphor pervades everyday language, allowing speakers to express abstract concepts via concrete domains. While prior work has studied metaphors cognitively and psycholinguistically, large-scale comparisons with literal language remain limited, especially for near-synonymous expressions. We analyze 297 English verb-object pairs (e.g., float idea vs. suggest idea) in ~2M corpus sentences, examining their contextual usage. Using five NLP tools, we extract 2,293 cognitive and linguistic features capturing affective, lexical, syntactic, and discourse-level properties. We address: (i) whether features differ between metaphorical and literal contexts (cross-pair analysis), and (ii) whether individual VO pairs diverge internally (within-pair analysis). Cross-pair results show literal contexts have higher lexical frequency, cohesion, and structural regularity, while metaphorical contexts show…
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