stanfordnlp/GloVe
Stanford's GloVe model implementation in C for learning distributed word representations (word vectors/embeddings).
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This repository provides the original GloVe implementation for learning word representations from co-occurrence statistics in text corpora. It includes both the C source code for training the model and pre-trained word vectors derived from large web datasets. Word vectors encode semantic relationships in vector space, enabling analogies like man:woman = king:queen.