Floating or Suggesting Ideas? A Large-Scale Contrastive Analysis of Metaphorical and Literal Verb-Object Constructions

2026-04-09

AI Summary

This study addresses a critical gap in existing research by systematically comparing metaphorical and literal verb–object constructions in large-scale corpora, with particular attention to distributional differences among near-synonymous expressions. Drawing on a corpus of approximately two million sentences, the authors analyze 297 English verb–object pairs (e.g., *float an idea* vs. *suggest an idea*) through both inter- and intra-pair comparisons. Integrating large-scale data with 2,293 multidimensional features spanning affective, lexical, syntactic, and discourse levels, the study reveals no universal distinction between metaphorical and literal uses; instead, differences are largely construction-specific, challenging traditional binary assumptions. Findings indicate that literal constructions tend to be more frequent, coherent, and structurally regular, whereas metaphorical ones exhibit greater emotional intensity, imagistic quality, and lexical diversity, with significant heterogeneity observed within most individual constructions.

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 greater affective load, imageability, lexical diversity, and constructional specificity. Within-pair analyses reveal substantial heterogeneity, with most pairs showing non-uniform effects. These results suggest no single, consistent distributional pattern that distinguishes metaphorical from literal usage. Instead, differences are largely construction-specific. Overall, large-scale data combined with diverse features provides a fine-grained understanding of metaphor-literal contrasts in VO usage.

Problem

• metaphor
• literal language
• verb-object constructions
• distributional patterns
• corpus analysis

Innovation

• metaphor
• verb-object constructions
• large-scale analysis
• construction-specificity
• contrastive linguistics