Neural Network-based Language Model (LM) Training Algorithm

A Neural Network-based Language Model (LM) Training Algorithm is a neural network training algorithm that can be implemented by a Neural LM Training System (to solve a Neural Network Language Model Training Task to produce a neural network language model).

• Context:
  • …
• Example(s):
  • an RNN-based LM Algorithm, such as an LSTM-based LM algorithm.
  • a Convolutional NNet-based LM Algorithm.
  • Skip-Gram NNLM Algorithm.
  • CBOW NNLM Algorithm.
  • …
• Counter-Example(s):
  • n-Gram Backoff Language Model.
  • an MLE-based LM Algorithm.
• See: Matrix Factorization-based Language Model, Distributional Continuous Dense Word Model Training Algorithm.

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