Non-Linearity in Mapping Based Cross-Lingual Word Embeddings

LREC 2020 Jiawei ZhaoAndrew Gilman

Recent works on cross-lingual word embeddings have been mainly focused on linear-mapping-based approaches, where pre-trained word embeddings are mapped into a shared vector space using a linear transformation. However, there is a limitation in such approaches{--}they follow a key assumption: words with similar meanings share similar geometric arrangements between their monolingual word embeddings, which suggest that there is a linear relationship between languages... (read more)

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