arXiv — NLP / Computation & Language · · 3 min read

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

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Computer Science > Computation and Language

arXiv:2605.19575 (cs)
[Submitted on 19 May 2026]

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

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Abstract:The article observes data analysis of 286 multi-word expressions (MWEs) based on 16 lexical, grammatical and other criteria described in theoretical books and papers on the notion of idiomaticity. MWEs were collected from the same theoretical sources, and a set of experts in linguistics annotated them with these categories. The distribution of categories shows that there are no absolutely idiomatic expressions. Lexical criteria seem to be the most influential; grammatical criteria are bound to certain conditions; presence of obsolete words and grammar influence ability of an MWE to be replaced with one word.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2605.19575 [cs.CL]
  (or arXiv:2605.19575v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2605.19575
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Alexander Zhmykhov [view email]
[v1] Tue, 19 May 2026 09:19:26 UTC (182 KB)
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