Galvan-Santana, Alberto2024-07-012024-07-012024-05-211684-4904https://riunet.upv.es/handle/10251/205664[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.Reconocimiento (by)Monolingual learner'sDictionaryMacrostructureNavigationLearnabilityAlgorithmic complexityCompressionAlgorithmic Complexity and Learnability in German Monolingual Learner Lexicography. A Case StudyAlgorithmische Komplexität und Lernbarkeit in der einsprachigen Lernerlexikographie des Deutschen. Eine FallstudieArtículo10.5788/34-1-1902Abierto