orGlossaries

orGlossaries are structured terminological resources designed to capture and organize term variants, senses, and cross-language mappings in a single repository. They are intended to support linguistic research, natural language processing, and multilingual information management by providing a coherent framework for handling orthographic and semantic variations.

Core features include a data model that associates each entry with a canonical form, language, part of speech, and one or more senses. Each sense links to definitions, usage examples, and related terms such as synonyms, antonyms, and hypernyms. A key aspect of orGlossaries is the inclusion of variant forms, which may cover spelling alternatives, dialectal forms, historical spellings, diacritics, and script differences. This emphasis on variants enables robust term matching across texts produced in different orthographies or language varieties.

Data provenance and governance are central to orGlossaries. Entries are typically sourced from dictionaries, corpora, and expert contributions, with versioning, attribution, licensing, and ongoing curation to maintain accuracy and consistency. Interoperability is supported through export formats such as JSON, XML, and RDF, as well as APIs for integration with NLP pipelines, search systems, and terminology management workflows.

Applications span machine translation, spell checking, OCR post-correction, semantic search, and multilingual terminology alignment. Challenges include maintaining cross-lingual coherence, managing conflicting variant judgments, and scaling curation across domains and languages.

See also glossaries, lexicons, terminology management, and multilingual resources.