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Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings
[article]
2020
arXiv
pre-print
Word embeddings have become a standard resource in the toolset of any Natural Language Processing practitioner. While monolingual word embeddings encode information about words in the context of a particular language, cross-lingual embeddings define a multilingual space where word embeddings from two or more languages are integrated together. Current state-of-the-art approaches learn these embeddings by aligning two disjoint monolingual vector spaces through an orthogonal transformation which
arXiv:1910.07221v4
fatcat:ezeepywtkfdqbalfdpa6vpqqdy