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This paper presents a novel approach to exploring derivational families within the framework of Intelligent Lexicography, using the ŠKOLARAC corpus: a collection of Croatian school essays written by L1 learners (native-speaking students) in grades 5 through 8 and enriched with metadata such as gender, grade level, and region. By combining rule-based linguistic processing in NooJ, a linguistic development environment for formalizing morphological and syntactic patterns, with tailored morphological procedures for Croatian, the study identifies and maps derivational networks of three pedagogically relevant lexical morphemes (CRT, PIS, and RAD) tracing their associated inflected and derived forms as they appear in young learner corpora. The extracted data are visualized using radial graphs, butterfly charts, and hierarchical structures, enabling a multifaceted analysis of morphological productivity and lexical variation. This integrated workflow demonstrates how intelligent tools can enhance lexicographic practice by uncovering deep morphological relationships in authentic learner language. The findings support the development of adaptive, learner-sensitive lexicographic resources with applications in linguistics, language education, and curriculum design, particularly in the context of developing digital dictionaries and vocabulary tools tailored to young learners.
