Python Maximum Likelihood-based Character-Level Language Model (LM) Training System

A Python Maximum Likelihood-based Character-Level Language Model (LM) Training System is a Maximum Likelihood-based LM system that is a Python-based Character-Level LM system.

• Context:
  • It can solve a Python Maximum Likelihood-based Character-Level Language Model (LM) Training Task by implementing a Python Maximum Likelihood-based Character-Level Language Model (LM) Training Algorithm.
• Example(s):
  • that described in Goldberg (2015),
  • …
• Counter-Example(s):
  • a Lua-based Character-Level LM System.
  • a Python MaxLikelihood-based Word-Level LM System.
  • …
• See: Python-based Neural LM System.

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References =

2015

• (Goldberg, 2015) ⇒ Yoav Goldberg. (2015). “The Unreasonable Effectiveness of Character-level Language Models (and Why RNNs Are Still Cool).” In: Jupyter Notebook - Nbviewer.

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