English-Kazakh Legal Crosslingual Word Embeddings

English-Kazakh Legal Crosslingual Word Embeddings are English and Kazakh word embeddings trained on legal domain texts that have been aligned on the same vector space using Vecmap (https://github.com/artetxem/vecmap) according to their similarity. The embeddings have been developed in the framework of the CEF project MT4ALL (http://ixa2.si.ehu.eus/mt4all/project). We license the actual packaging of this data under a CC0 1.0 Universal License.

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