Description
The tutorial aims to promote the understanding of state-of-the-art lexicographic practices based on the post-editing of corpus-generated and AI-generated content. It focuses on how contemporary lexicography can effectively combine automation with expert human judgement to achieve efficient, scalable, and cost-effective editorial workflows while ensuring that all dictionary data remain fully reviewed and validated by human editors.
The workshop provides an overview of current corpus and AI technologies relevant to dictionary making. Sketch Engine ( https://www.sketchengine.eu/ ) is exploited to support key lexicographic tasks such as sense analysis, collocation extraction, example selection, and pattern discovery. The session will also introduce Lexonomy ( https://guide.lexonomy.eu/ ) as a modern dictionary writing system designed for updating legacy dictionaries as well as creating new lexicographic works. Lexonomy demonstrates how corpus evidence and post-edited content can be efficiently structured, edited, and published within a collaborative editorial environment.
A central component of the tutorial is the presentation of the Dictionary Express method ( https://dictionary.express/ ), which combines automated content generation with systematic post-editing to accelerate dictionary production without compromising quality. Through practical workflows and concrete examples, the tutorial will show how corpus data, AI-assisted suggestions, and editorial guidelines can be integrated into a coherent process that supports consistency, transparency, and editorial control. The session is intended for lexicographers, editors, and researchers interested in applying corpus-based and AI-supported methods to contemporary dictionary projects.