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Language Models - NLP Project

Implementation of an RNN-based language modeling system.

Experiments:

  • Investigate the performance using LSTM vs. GRU
  • Investigate the performance using various word embeddings: Word2Vec, GloVe, FastText.
  • If possible (you might end up having an extremely large number of parameters), include attention in your model. As inspiration, see Salton et al. (https://www.aclweb.org/anthology/I17-1045/). Investigate

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