This page provides a link to the multilingual word embeddings described in the paper  below.
Current supported languages are: Arabic, Brazilian Portuguese, Dutch, English, French, German, Italian, Polish, Romanian, Russian, Spanish, and Turkish.
The embeddings were obtained by combining parallel data from the TED Corpus with pre-trained English GloVe embeddings.
The code is publicly available here.
The multilingual word vectors can be downloaded here (1.3 GB tar.gz file). The format is one word per line. The suffix of each word indicates the language.
As an alternative, you can download each language's vectors separately: