arXiv:2605.19575cs.CL2026-05

通过专家标注分析286个习语,发现无绝对惯用表达。

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

论文配图:A Data-Driven Approach to Idiomaticity Based on Experts' Criteria in Theoretical Linguistics
图 1 · 摘自论文原文
  • 基于16项语言学标准,对286个多词表达进行数据驱动分析。
  • 词汇标准影响最大,语法条件限制显著,古词使用降低可替换性。
  • 适合研究语言惯用性、语义可替换性的学者参考。

本文基于理论文献中描述的16项词汇、语法及其他标准,对286个多词表达(MWEs)进行了数据分析。这些MWEs均来自相同理论来源,由语言学专家进行标注。结果表明,不存在绝对惯用的表达。词汇标准影响最为显著;语法标准仅在特定条件下适用;包含古旧词汇或语法复杂者,更难被单个词替代。

原文摘要 · Abstract (English)

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.

习语研究语言学数据驱动

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