Neural-based Character-Level Language Model (LM) Training System

A Neural-based Character-Level Language Model (LM) Training System is a neural character-level LM system that implements a neural character-level LM algorithm to solve a neural character-level LM task (that requires a neural character-level language model).

• Example(s):
  • a Python-based Neural Character-Level LM System,
  • a Lua-based Neural Character-Level LM System (such as Karpathy, 2015),
  • a TensorFlow-based Neural Character-Level LM System,
  • a Pytorch-based Neural Character-Level LM System,
  • an LSTM-based Character-Level LM System.
  • …
• Counter-Example(s):
  • MaxLikelihood-based Character-Level LM System,
• See: Neural Text Error Correction System, WikiFixer System.

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