BPEmb and code to replicate our experiments is available at https://github.com/bheinzerling/bpemb.
recently, based on the assumption that a word's meaning can be reconstructed from its parts, several subwordbased methods have been proposed to deal with the unknown word problem: character-based recurrent neural networks (rNN) (Luong and Manning, 2016), character-based convolutional neural networks (CNN) (Chiu and Nichols, 2016), word embeddings enriched with subword information (FastText) (Bojanowski et al., 2017), and byte-pair encoding (BPE) (Sennrich et al., 2016), among others.