languagecan
LanguageCan is a theoretical framework and domain-specific language intended to encode and reason about linguistic capabilities of natural languages within artificial intelligence systems. It aims to provide a structured, machine readable representation of how language conveys modality, possibility, obligation, and related cognitive aspects, enabling researchers to compare and integrate linguistic resources across languages and models. The term LanguageCan is sometimes used as an acronym, though usage varies.
Developed in speculative discussions within computational linguistics and AI research communities, LanguageCan is not a widely
Core design emphasizes modular annotation layers for lexical semantics, syntax, discourse, and pragmatic context. It supports
Applications proposed for LanguageCan include organizing and evaluating multilingual language resources, benchmarking language models on cross-linguistic
Status and outlook: The concept remains niche and experimental, with critique centered on fragmentation risk and