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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. A Data-Driven Approach to Idiomaticity Based on Experts' Criteria in Theoretical Linguistics

    Researchers have analyzed 286 multi-word expressions (MWEs) using 16 criteria from theoretical linguistics to understand idiomaticity. The study found that no expressions are absolutely idiomatic, with lexical factors appearing most influential. Grammatical criteria were found to be conditional, and the presence of obsolete words or specific grammar structures impacted an MWE's replaceability with a single word. AI

  2. A Data-Driven Approach to Idiomaticity Based on Experts' Criteria in Theoretical Linguistics

    Researchers have developed a new method to analyze idiomatic expressions using linguistic criteria. Their approach involves annotating multi-word expressions with categories derived from theoretical linguistics, revealing that no expressions are absolutely idiomatic. The study found that lexical factors significantly influence idiomaticity, while grammatical factors are conditional and the presence of archaic words or grammar can affect an expression's substitutability. AI

    A Data-Driven Approach to Idiomaticity Based on Experts' Criteria in Theoretical Linguistics

    IMPACT This research provides a novel framework for analyzing language, which could inform future natural language processing models.