Software:fastText

From HandWiki

fastText
FastText.png
Developer(s)Facebook's AI Research (FAIR) lab[1]
Initial releaseNovember 9, 2015; 8 years ago (2015-11-09)
Stable release
0.9.2[2] / April 28, 2020; 4 years ago (2020-04-28)
Repositorygithub.com/facebookresearch/fastText
Written inC++, Python
PlatformLinux, macOS, Windows
TypeMachine learning library
LicenseMIT License
Websitefasttext.cc

fastText is a library for learning of word embeddings and text classification created by Facebook's AI Research (FAIR) lab.[3][4][5][6] The model allows one to create an unsupervised learning or supervised learning algorithm for obtaining vector representations for words. Facebook makes available pretrained models for 294 languages.[7][8] Several papers describe the techniques used by fastText.[9][10][11][12]

See also

References

  1. Mannes, John. "Facebook's fastText library is now optimized for mobile". https://techcrunch.com/2017/05/02/facebooks-fasttext-library-is-now-optimized-for-mobile/. Retrieved 12 January 2018. 
  2. Onur Çelebi (2020-04-28). "facebookresearch/fastText/releases/tag/v0.9.2". Facebook. https://github.com/facebookresearch/fastText/releases/tag/v0.9.2. Retrieved 2020-11-21. 
  3. Mannes, John. "Facebook's fastText library is now optimized for mobile". https://techcrunch.com/2017/05/02/facebooks-fasttext-library-is-now-optimized-for-mobile/. Retrieved 12 January 2018. 
  4. Ryan, Kevin J.. "Facebook's New Open Source Software Can Learn 1 Billion Words in 10 Minutes". https://www.inc.com/kevin-j-ryan/facebook-open-source-fasttext-learns-1-billion-words-in-10-minutes.html. Retrieved 12 January 2018. 
  5. Low, Cherlynn. "Facebook is open-sourcing its AI bot-building research". https://www.engadget.com/2016/08/18/facebook-open-sourcing-fasttext/. Retrieved 12 January 2018. 
  6. Mannes, John. "Facebook's Artificial Intelligence Research lab releases open source fastText on GitHub". https://techcrunch.com/2016/08/18/facebooks-artificial-intelligence-research-lab-releases-open-source-fasttext-on-github/. Retrieved 12 January 2018. 
  7. Sabin, Dyani. "Facebook Makes A.I. Program Available in 294 Languages". https://www.inverse.com/article/31075-facebook-machine-learning-language-fasttext. Retrieved 12 January 2018. 
  8. "Wiki word vectors" (in en-US). https://fasttext.cc/docs/en/pretrained-vectors.html. Retrieved 26 November 2020. 
  9. "References · fastText" (in en). https://fasttext.cc/index.html. 
  10. Bojanowski, Piotr; Grave, Edouard; Joulin, Armand; Mikolov, Tomas (2017-06-19). "Enriching Word Vectors with Subword Information". arXiv:1607.04606 [cs.CL].
  11. Joulin, Armand; Grave, Edouard; Bojanowski, Piotr; Mikolov, Tomas (2016-08-09). "Bag of Tricks for Efficient Text Classification". arXiv:1607.01759 [cs.CL].
  12. Joulin, Armand; Grave, Edouard; Bojanowski, Piotr; Douze, Matthijs; Jégou, Hérve; Mikolov, Tomas (2016-12-12). "FastText.zip: Compressing text classification models". arXiv:1612.03651 [cs.CL].

External links