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Expand Up @@ -186,3 +186,9 @@ Faruqui and Dyer, EACL 2014
Dinu et al., 2014
6. [Learning principled bilingual mappings of word embeddings while preserving monolingual invariance](https://pdfs.semanticscholar.org/9a2e/ed5f8175275af0d55d4aed39afc8e2b2acf2.pdf?_ga=1.8571637.130713154.1492676520)
Artetxe et al., EMNLP 2016

If you would like a general introduction to word embeddings, we recommend [Colah's blog](http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/).

## License

The transformation matrices are distributed under the [*Creative Commons Attribution-Share-Alike License 3.0*](https://creativecommons.org/licenses/by-sa/3.0/).

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