Word embeddings obtained from decow14ax - 200 dimensional

Word vectors trained using GloVe for the most frequent 1000000 tokens in the decow14ax corpus. See associated paper (Dima, 2015) for description of the training parameters. word embeddings - distributional representations - word vectors GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space.