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Connecting a French Dictionary from the Beginning of the 20th Century to Wikidata

arXiv 2206.11022 ↗First posted 22 Jun 2022cs.CL cs.DLcited by 4

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Abstract (arXiv)

The textitPetit Larousse illustr'e is a French dictionary first published in 1905. Its division in two main parts on language and on history and geography corresponds to a major milestone in French lexicography as well as a repository of general knowledge from this period. Although the value of many entries from 1905 remains intact, some descriptions now have a dimension that is more historical than contemporary. They are nonetheless significant to analyze and understand cultural representations from this time. A comparison with more recent information or a verification of these entries would require a tedious manual work. In this paper, we describe a new lexical resource, where we connected all the dictionary entries of the history and geography part to current data sources. For this, we linked each of these entries to a wikidata identifier. Using the wikidata links, we can automate more easily the identification, comparison, and verification of historically-situated representations. We give a few examples on how to process wikidata identifiers and we carried out a small analysis of the entities described in the dictionary to outline possible applications. The resource, i.e. the annotation of 20,245 dictionary entries with wikidata links, is available from GitHub urlhttps://github.com/pnugues/petitlarousse1905/

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 4 of its 20 references that are in the map. First posted on arXiv 22 Jun 2022.

Builds on

4 of 20 references.

References · 4

  1. 2019Zero-Shot Entity Linking by Reading Entity Descriptionscited by 124
  2. 2020Entity Linking in 100 Languagescited by 52
  3. 2021MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representationscited by 9
  4. 2019EntEval: A Holistic Evaluation Benchmark for Entity Representationscited by 6

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Citing papers per year: 2024: 2; 2025: 1; 2026: 1.

4 papers.