Speakers
Description
Modern lexicographic workflows increasingly combine automatic dictionary drafting from large corpora with extensive human post-editing and validation. Advances in corpus linguistics and natural language processing make it possible to generate comprehensive dictionary drafts automatically, but the quality of the final product still depends on systematic human editorial work. As a result, contemporary dictionary projects are characterized by multiple iterative cycles in which editors assess, correct, enrich, and approve automatically generated entries. While this approach significantly accelerates dictionary production, it also introduces new challenges in organizing editorial work, maintaining consistency, and supervising progress across large editorial teams.
In this paper we present Lexonomy, a system designed to support the management of large lexicographic projects following this draft-and-post-edit paradigm. The system is tailored for dictionaries whose editors working in parallel. It supports the division of editorial labour into clearly defined tasks where each editor or team focuses on a concrete entry element according to their expertise and lexicographic experience. Lexonomy enables editors to focus on their lexicographic decisions while ensuring that individual contributions fit coherently into the overall editorial plan.
A key objective of the system is to provide the editor-in-chief with a clear and continuously updated overview of the dictionary creation process. By integrating support for collaborative editing with tools for project supervision, Lexonomy facilitates efficient management of large-scale dictionary projects and helps ensure that automatically generated drafts are systematically transformed into high-quality, human-validated lexicographic resources.