Language Models with GloVe Word Embeddings Academic Article uri icon


  • Abstract: In this work we implement a training of a Language Model (LM), using Recurrent Neural Network (RNN) and GloVe word embeddings, introduced by Pennigton et al. in [1]. The implementation is following the general idea of training RNNs for LM tasks presented in [2], but is rather using Gated Recurrent Unit (GRU)[3] for a memory cell, and not the more commonly used LSTM [4].

publication date

  • October 12, 2016