Vietnamese Word Vector

The pretrained word vectors are available here (using HCMUT email to access).
There are 2 types of word vector: unigram and segmented.
Each of them is trained using 3 methods: CBOW, Skip-gram and GloVe
To use the unigram word vector, use the clean_text function in preprocess.py to prepare the texts before mapping them to word vectors. (require regex python package).
To use the segmented version, use VnCoreNLP for word segmentation before mapping them to word vectors.

trungtrinh44 / vn_word_vector