GloVe: Global Vectors for Word Representation (Arabic Model)

We provide an implementation of the GloVe model for learning word representations, and describe how to download web-dataset vectors or train your own. See the paper for more information on glove vectors.

Download pre-trained word vectors

The links below contain word vectors obtained from the respective corpora. If you want word vectors trained on other data sets, feel free to edit this script. Pre-trained word vectors are made available under the Waqf v2.0 Public License.

Train word vectors on a new corpus

If the web datasets above don't match the semantics of your end use case, you can train word vectors on your own corpus.

$ git clone https://github.com/tarekeldeeb/GloVe-Arabic
$ cd GloVe-Arabic && make
$ ./demo.sh

The demo.sh script downloads an arabic corpus, consisting of a mix of different sources. It collects unigram counts, constructs and shuffles cooccurrence data, and trains a simple version of the GloVe model. It also runs a word analogy evaluation script in python to verify word vector quality. More details about training on your own corpus can be found by reading demo.sh or the src/README.md

License

All sources contained in this package is licensed under the Apache License, Version 2.0. See the include LICENSE file.