Entropy2Vec turns the cross-lingual surprise of monolingual language models into dense language embeddings that resemble typological families and match curated vectors in downstream tasks.
Dryer and Martin Haspelmath, editors
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Entropy2Vec: Crosslingual Language Modeling Entropy as End-to-End Learnable Language Representations
Entropy2Vec turns the cross-lingual surprise of monolingual language models into dense language embeddings that resemble typological families and match curated vectors in downstream tasks.