Preprint
Jun 2026
ALEE: Any-Language Evaluation of Embeddings via English-Centric Minimal Pairs
A large-scale empirical study across a diverse set of embedding models and 275+ languages spanning three parallel datasets, exposing persistent gaps in cross-lingual semantic representation that track language prevalence in training resources and subword tokenization.
Andrianos Michail, Stylianos Psychias, Michelle Wastl et al.
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