This repository consist of a rough code of CBOW and Skip-gram model written in python.
Referenced from:
Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S. and Dean, J., 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems (pp. 3111-3119).
Mikolov, T., Chen, K., Corrado, G. and Dean, J., 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781.
Rong, X., 2014. word2vec parameter learning explained. arXiv preprint arXiv:1411.2738.
Other refrences:
Sadowski, P., 2016. Notes on backpropagation. homepage: https://www. ics. uci. edu/~ pjsadows/notes. pdf (online).