Multilingual Word Embeddings for Low-Resource Languages using Anchors and a Chain of Related Languages

Viktor Hangya, Silvia Severini, Radoslav Ralev +2

Very low-resource languages, having only a few million tokens worth of data, are not well-supported by multilingual NLP approaches due to poor quality cross-lingual word representa…