# Aligned word vectors · fastText
We are publishing aligned word vectors for 44 languages based on the pre-trained vectors computed on [*Wikipedia*](https://www.wikipedia.org) using fastText.

We are publishing aligned word vectors for 44 languages based on the pre-trained vectors computed on Wikipedia using fastText. The alignments are performed with the RCSLS method described in Joulin et al (2018).

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Vectors

The aligned vectors can be downloaded from:

Afrikaans: text | Arabic: text | Bulgarian: text | Bengali: text
Bosnian: text | Catalan: text | Czech: text | Danish: text
German: text | Greek: text | English: text | Spanish: text
Estonian: text | Persian: text | Finnish: text | French: text
Hebrew: text | Hindi: text | Croatian: text | Hungarian: text
Indonesian: text | Italian: text | Korean: text | Lithuanian: text
Latvian: text | Macedonian: text | Malay: text | Dutch: text
Norwegian: text | Polish: text | Portuguese: text | Romanian: text
Russian: text | Slovak: text | Slovenian: text | Albanian: text
Swedish: text | Tamil: text | Thai: text | Tagalog: text
Turkish: text | Ukrainian: text | Vietnamese: text | Chinese: text

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Format

The word vectors come in the default text format of fastText. The first line gives the number of vectors and their dimension. The other lines contain a word followed by its vector. Each value is space separated.

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License

The word vectors are distributed under the Creative Commons Attribution-Share-Alike License 3.0.

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References

If you use these word vectors, please cite the following papers:

[1] A. Joulin, P. Bojanowski, T. Mikolov, H. Jegou, E. Grave, Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion

    @InProceedings{joulin2018loss,
      title={Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion},
      author={Joulin, Armand and Bojanowski, Piotr and Mikolov, Tomas and J\'egou, Herv\'e and Grave, Edouard},
      year={2018},
      booktitle={Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
    }

[2] P. Bojanowski*, E. Grave*, A. Joulin, T. Mikolov, Enriching Word Vectors with Subword Information

    @article{bojanowski2017enriching,
      title={Enriching Word Vectors with Subword Information},
      author={Bojanowski, Piotr and Grave, Edouard and Joulin, Armand and Mikolov, Tomas},
      journal={Transactions of the Association for Computational Linguistics},
      volume={5},
      year={2017},
      issn={2307-387X},
      pages={135--146}
    }

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