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fastText

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fastText

Developer(s)	Facebook's AI Research (FAIR) lab^[1]
Initial release	November 9, 2015; 8 years ago (2015-11-09)

Stable release	0.9.2^[2] / April 28, 2020; 4 years ago (2020-04-28)

Repository	github.com/facebookresearch/fastText
Written in	C++, Python
Platform	Linux, macOS, Windows
Type	Machine learning library
License	MIT License
Website	fasttext.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 learningorsupervised 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]

References[edit]

^ Mannes, John. "Facebook's fastText library is now optimized for mobile". TechCrunch. Retrieved 12 January 2018.

^ Onur Çelebi (2020-04-28). "facebookresearch/fastText/releases/tag/v0.9.2". Facebook. Retrieved 2020-11-21.

^ Mannes, John. "Facebook's fastText library is now optimized for mobile". TechCrunch. Retrieved 12 January 2018.

^ Ryan, Kevin J. "Facebook's New Open Source Software Can Learn 1 Billion Words in 10 Minutes". Inc. Retrieved 12 January 2018.

^ Low, Cherlynn. "Facebook is open-sourcing its AI bot-building research". Engadget. Retrieved 12 January 2018.

^ Mannes, John. "Facebook's Artificial Intelligence Research lab releases open source fastText on GitHub". TechCrunch. Retrieved 12 January 2018.

^ Sabin, Dyani. "Facebook Makes A.I. Program Available in 294 Languages". Inverse. Retrieved 12 January 2018.

^ "Wiki word vectors". fastText. Retrieved 26 November 2020.

^ "References · fastText". fasttext.cc. Retrieved 2021-09-08.

^ Bojanowski, Piotr; Grave, Edouard; Joulin, Armand; Mikolov, Tomas (2017-06-19). "Enriching Word Vectors with Subword Information". arXiv:1607.04606 [cs.CL].

^ Joulin, Armand; Grave, Edouard; Bojanowski, Piotr; Mikolov, Tomas (2016-08-09). "Bag of Tricks for Efficient Text Classification". arXiv:1607.01759 [cs.CL].

^ 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].