Discovering Lexical Gaps Using Embeddings from Multilingual LLMs 事件

Discovering Lexical Gaps Using Embeddings from Multilingual LLMs arXiv:2605.24310v1 Announce Type: new Abstract: Lexical gaps are words that do not exist in certain languages. They pose challenges for building multilingual lexical resources, for machine translation, and for cross-lingual transfer. Existing lexical gap detection relies on human judgments or fixed conceptual taxonomies. We propose a data-driven framework for identifying cross-lingual lexical gaps. We extracted contextualized embe