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@@ -42,7 +42,7 @@ This repository hosts unofficial Windows binary builds of fastText, a library fo
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### Models
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- Recent state-of-the-art [English word vectors](https://fasttext.cc/docs/en/english-vectors.html).
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- Word vectors for [294 languages trained on Wikipedia](https://github.com/facebookresearch/fastText/blob/master/pretrained-vectors.md).
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- Word vectors for [157 languages trained on Wikipedia and Crawl](https://github.com/facebookresearch/fastText/blob/master/docs/crawl-vectors.md).
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- Models for [language identification](https://fasttext.cc/docs/en/language-identification.html#content) and [various supervised tasks](https://fasttext.cc/docs/en/supervised-models.html#content).
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### Supplementary data
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$ cd fastText-0.1.0
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$ make
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```
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This will produce object files for all the classes as well as the main binary `fasttext`.
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If you do not plan on using the default system-wide compiler, update the two macros defined at the beginning of the Makefile (CC and INCLUDES).
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@@ -233,7 +233,7 @@ This will create a `.ftz` file with a smaller memory footprint. All the standard
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```
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$ ./fasttext test model.ftz test.txt
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```
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The quantization procedure follows the steps described in [3](#fastext-zip). You can
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The quantization procedure follows the steps described in [3](#fasttextzip-compressing-text-classification-models). You can
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run the script `quantization-example.sh` for an example.
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@@ -293,11 +293,14 @@ Please cite [1](#enriching-word-vectors-with-subword-information) if using this
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[1] P. Bojanowski\*, E. Grave\*, A. Joulin, T. Mikolov, [*Enriching Word Vectors with Subword Information*](https://arxiv.org/abs/1607.04606)
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```
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@article{bojanowski2016enriching,
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@article{bojanowski2017enriching,
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title={Enriching Word Vectors with Subword Information},
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author={Bojanowski, Piotr and Grave, Edouard and Joulin, Armand and Mikolov, Tomas},
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journal={arXiv preprint arXiv:1607.04606},
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year={2016}
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journal={Transactions of the Association for Computational Linguistics},
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volume={5},
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year={2017},
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issn={2307-387X},
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pages={135--146}
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}
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```
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@@ -306,11 +309,14 @@ Please cite [1](#enriching-word-vectors-with-subword-information) if using this
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[2] A. Joulin, E. Grave, P. Bojanowski, T. Mikolov, [*Bag of Tricks for Efficient Text Classification*](https://arxiv.org/abs/1607.01759)
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```
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@article{joulin2016bag,
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@InProceedings{joulin2017bag,
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title={Bag of Tricks for Efficient Text Classification},
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author={Joulin, Armand and Grave, Edouard and Bojanowski, Piotr and Mikolov, Tomas},
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journal={arXiv preprint arXiv:1607.01759},
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year={2016}
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booktitle={Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
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month={April},
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year={2017},
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publisher={Association for Computational Linguistics},
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