Quantized versions of fastText embeddings for 158 languages
收藏数据链接：
官方服务：
资源简介：
These are compressed (quantized) versions of word embeddings for 158 languages originally available from https://fasttext.cc/docs/en/crawl-vectors.html . Following steps were performed to reduce file size: the output matrix is discarded the quantization is performed with parameters "-qnorm -dsub 1" The average cosine similarity between original and quantized vectors for frequent words is 0.99. The file size is 4-6 times smaller.
提供机构：
CEA LIST创建时间：
2020-01-28
