Unsupervised Cross-lingual Transfer of Word Embedding Spaces

EMNLP 2018 Ruochen XuYiming YangNaoki OtaniYuexin Wu

Cross-lingual transfer of word embeddings aims to establish the semantic mappings among words in different languages by learning the transformation functions over the corresponding word embedding spaces. Successfully solving this problem would benefit many downstream tasks such as to translate text classification models from resource-rich languages (e.g. English) to low-resource languages... (read more)

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