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Description
This paper addresses the challenge of designing bilingual dictionary articles under resource asymmetry by focusing on the Yoruba–German language pair and drawing methodological insights from the more developed Galician–German ecosystem. It proposes a resource-aware model of dictionary article composition that explicitly accounts for limited evidence by making uncertainty visible, using heterogeneous sources (corpora, pivot resources, expert input). Our approach involves dictionary-critical analyses of both Yoruba–German and Galician–German lexicographic resources and the transfer of microstructural design strategies from Galician to Yoruba. Case studies include Yoruba–German prototype articles (e.g. the verb ṣe and the nouns ayé and akọ́nimọ̀ọ́gbá) developed from these findings, incorporating sense divisions, translation equivalents, examples, grammatical/constructional notes and cross-references. The study also demonstrates a human-led use of AI tools to enrich example sentences and collocations in the prototypes. Main contributions are the concept of a resource-aware dictionary article and a cross-pair methodological dialogue, operationalised in prototype articles. These contributions provide practical guidelines for lexicographers of under-resourced languages and suggest scalable, AI-assisted workflows for bilingual lexicography under unequal resource conditions.