bpemb
BPEmb offers pre-trained subword embeddings in 275 languages using Byte-Pair Encoding, designed to enhance neural network models in NLP. It allows for easy Python installation, seamless embedding model downloads, and supports subword segmentation for precise vocabulary control. With embeddings managed by gensim KeyedVectors, BPEmb is suited for scalable multilingual NLP solutions.
