👉 Glossing computing refers to the process of automatically generating and managing glossaries—structured vocabularies that map terms in text to standardized, often multilingual, concepts—using computational methods. This involves extracting key terms from documents, annotating them with their corresponding glossary entries, and ensuring consistency across large text corpora. It leverages natural language processing (NLP), machine learning, and data engineering to streamline tasks like multilingual information retrieval, semantic analysis, and knowledge management. By automating gloss creation, it reduces manual effort, enhances interoperability between systems, and supports applications such as legal document analysis, medical text interpretation, and cross-lingual search, making it a critical tool for organizing and understanding complex textual data at scale.
