Algorithmic Complexity and Learnability in German Monolingual Learner Lexicography. A Case Study

Handle

https://riunet.upv.es/handle/10251/205664

Cita bibliográfica

Galvan-Santana, A. (2024). Algorithmic Complexity and Learnability in German Monolingual Learner Lexicography. A Case Study. Lexikos. 34:166-188. https://doi.org/10.5788/34-1-1902

Titulación

Resumen

[EN] This paper analyzes the algorithmic complexity (also known as Kolmogorov complexity or descriptive complexity) of the lemma corpus included in the Wortfamilienw & ouml;rterbuch der deutschen Gegenwartssprache (WfWG; Augst 2009) as a function of its macrostructural arrangement. The results show that, compared to the alphabetical order, the WfWG word-family arrangement produces an algorithmically more compressible, and therefore less complex version of the lemma corpus. This observation points to a higher degree of learnability and cognitive accessibility of the lemma corpus arranged in word families.

Fuente

Lexikos issn: 1684-4904

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