Analyzing the Limitations of Cross-lingual Word Embedding Mappings

ACL 2019 Aitor OrmazabalMikel ArtetxeGorka LabakaAitor SoroaEneko Agirre

Recent research in cross-lingual word embeddings has almost exclusively focused on offline methods, which independently train word embeddings in different languages and map them to a shared space through linear transformations. While several authors have questioned the underlying isomorphism assumption, which states that word embeddings in different languages have approximately the same structure, it is not clear whether this is an inherent limitation of mapping approaches or a more general issue when learning cross-lingual embeddings... (read more)

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