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Conference Papers Year : 2022

Organizing and Improving a Database of French Word Formation Using Formal Concept Analysis

Abstract

We apply Formal Concept Analysis (FCA) to organize and to improve the quality of Démonette2, a French derivational database, through a detection of both missing and spurious derivations in the database. We represent each derivational family as a graph. Given that the subgraph relation exists among derivational families, FCA can group families and represent them in a partially ordered set (poset). This poset is also useful for improving the database. A family is regarded as a possible anomaly (meaning that it may have missing and/or spurious derivations) if its derivational graph is almost, but not completely identical to a large number of other families.
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Dates and versions

hal-03699463 , version 1 (20-06-2022)

Identifiers

  • HAL Id : hal-03699463 , version 1

Cite

Nyoman Juniarta, Olivier Bonami, Nabil Hathout, Fiammetta Namer, Yannick Toussaint. Organizing and Improving a Database of French Word Formation Using Formal Concept Analysis. 13th International Conference on Language Resources and Evaluation (LREC 2022), ELRA, Jun 2022, Marseille, France. pp.3969-3976. ⟨hal-03699463⟩
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