MUSE: Multilingual Unsupervised and Supervised Embeddings
MUSE is a Python library for multilingual word embeddings, whose goal is to provide the community with:
- state-of-the-art multilingual word embeddings based on fastText
- large-scale high-quality bilingual dictionaries for training and evaluation
We include two methods, one supervised that uses a bilingual dictionary or identical character strings, and one unsupervised that does not use any parallel data (see Word Translation without Parallel Data https://arxiv.org/pdf/1710.04087.pdf for more details).