This repo shows the implementaion of loading the word embeddings into Keras model for Azerbaijani language in R and Python noteboooks.
Note: In Python notebook only Mac and Linux users will be able to run the example because data.table is not available for Windows users.
We will add an additonal method for Windows users, as well but later.
Word embeddings were trained by Facebook Research.
E. Grave*, P. Bojanowski*, P. Gupta, A. Joulin, T. Mikolov, Learning Word Vectors for 157 Languages
@inproceedings{grave2018learning,
title={Learning Word Vectors for 157 Languages},
author={Grave, Edouard and Bojanowski, Piotr and Gupta, Prakhar and Joulin, Armand and Mikolov, Tomas},
booktitle={Proceedings of the International Conference on Language Resources and Evaluation (LREC 2018)},
year={2018}
}