Python-based Character-Level Neural Language Modeling System

A Python-based Character-Level Neural Language Modeling System is a Python-based language modeling system that implements a Neural-based character-level LM algorithm to solve a Python-based character-level LM task.

• Context:
  • …
• Example(s):
  • a Python-based Character-Level Neural LM System.
  • …
• Counter-Example(s):
  • a Python-based Character-Level Maximum Likelihood LM System, such in (Goldberg, 2015).
  • a Python-based Word-Level Neural LM System.
  • a Lua-based one, such as the one used in (Karpathy, 2015).
• See: Character/Word-Level Hybrid Language Modeling System.

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References

2015

• (Karpathy, 2015) ⇒ Andrej Karpathy. (2015). “The Unreasonable Effectiveness of Recurrent Neural Networks.” In: Proceedings of Blog post 2015-05-21.
  • QUOTE: ... By the way, together with this post I am also releasing code on Github that allows you to train character-level language models based on multi-layer LSTMs. You give it a large chunk of text and it will learn to generate text like it one character at a time. ...

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