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LIDIOMS: A Multilingual Linked Idioms Data Set

arXiv 1802.08148 ↗First posted 22 Feb 2018cs.CLcited by 15

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Abstract (arXiv)

In this paper, we describe the LIDIOMS data set, a multilingual RDF representation of idioms currently containing five languages: English, German, Italian, Portuguese, and Russian. The data set is intended to support natural language processing applications by providing links between idioms across languages. The underlying data was crawled and integrated from various sources. To ensure the quality of the crawled data, all idioms were evaluated by at least two native speakers. Herein, we present the model devised for structuring the data. We also provide the details of linking LIDIOMS to well-known multilingual data sets such as BabelNet. The resulting data set complies with best practices according to Linguistic Linked Open Data Community.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Feb 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 2; 2023: 2; 2024: 1; 2025: 5; 2026: 4.

15 papers.

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  1. 2022Understanding Transformer Memorization Recall Through Idiomscited by 62
  2. 2023Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Modelscited by 23
  3. 2022PETCI: A Parallel English Translation Dataset of Chinese Idiomscited by 10
  4. 2024Semantics of Multiword Expressions in Transformer-Based Models: A Surveycited by 9
  5. 2025Memorization or Reasoning? Exploring the Idiom Understanding of LLMscited by 7
  6. 2021IBERT: Idiom Cloze-style reading comprehension with Attentioncited by 4
  7. 2025Isolating Culture Neurons in Multilingual Large Language Modelscited by 4
  8. 2025A Survey of Idiom Datasets for Psycholinguistic and Computational Researchcited by 2
  9. 2025Idiom Understanding as a Tool to Measure the Dialect Gapcited by 2
  10. 2025NLP Datasets for Idiom and Figurative Language Taskscited by 2
  11. 2026When Words Don't Mean What They Say: Figurative Understanding in Bengali Idiomscited by 2
  12. 2023Generating Continuations in Multilingual Idiomatic Contextscited by 1
3 more
  1. 2026SinFoS: A Parallel Dataset for Translating Sinhala Figures of Speechcited by 1
  2. 2026Multilingual Idioms in Sentences and Conversations Across High-, Medium-, and Low-Resource Languagescited by 0
  3. 2026G-IdiomAlign: A Gloss-Pivoted Benchmark for Cross-Lingual Idiom Alignmentcited by 0