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<p>Research on metaphor has steadily increased over the last decades, as this phenomenon opens a window into a range of linguistic and cognitive processes. At the same time, the demand for rigorously constructed and extensively normed experimental materials increased as well. Here, we present the <i>Figurative Archive</i>, an open database of 996 metaphors in Italian enriched with ratings and corpus-based measures (from familiarity to semantic distance and preferred interpretations), derived by collecting stimuli used across 11 studies. It includes both everyday and literary metaphors, varying in structure and semantic domains, and is validated based on correlations between familiarity and other measures. The <i>Archive</i> has several aspects of novelty: it is increased in size compared to previous resources; it offers a measure of metaphor inclusiveness, to comply with recommendations for non-discriminatory language use; it is displayed in a web-based interface, with features for a customized consultation. We provide guidelines for using the <i>Archive</i> to source materials for studies investigating metaphor processing and the&#xa0;relationships between metaphor features in humans and computational models.</p>

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Figurative Archive: an open dataset and web-based application for the study of metaphor

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月7日

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  • Maddalena Bressler,
  • Veronica Mangiaterra,
  • Paolo Canal,
  • Federico Frau,
  • Fabrizio Luciani,
  • Biagio Scalingi,
  • Chiara Barattieri di San Pietro,
  • Chiara Battaglini,
  • Chiara Pompei,
  • Fortunata Romeo,
  • Luca Bischetti,
  • Valentina Bambini

摘要

Research on metaphor has steadily increased over the last decades, as this phenomenon opens a window into a range of linguistic and cognitive processes. At the same time, the demand for rigorously constructed and extensively normed experimental materials increased as well. Here, we present the Figurative Archive, an open database of 996 metaphors in Italian enriched with ratings and corpus-based measures (from familiarity to semantic distance and preferred interpretations), derived by collecting stimuli used across 11 studies. It includes both everyday and literary metaphors, varying in structure and semantic domains, and is validated based on correlations between familiarity and other measures. The Archive has several aspects of novelty: it is increased in size compared to previous resources; it offers a measure of metaphor inclusiveness, to comply with recommendations for non-discriminatory language use; it is displayed in a web-based interface, with features for a customized consultation. We provide guidelines for using the Archive to source materials for studies investigating metaphor processing and the relationships between metaphor features in humans and computational models.