Python-based Character-Level Neural Language Modeling System
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A Python-based Character-Level Neural Language Modeling System is a Python-based language modeling system that implements a character-level Neural LM algorithm to solve a Python-based character-level LM task.
- Context:
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- Example(s):
- Counter-Example(s):
- a Python-based Character-Level Maximum Entropy 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.
References
2015
- (Goldberg, 2015) ⇒ Yoav Goldberg. (2015). “The Unreasonable Effectiveness of Character-level Language Models (and Why RNNs Are Still Cool).” In: Blog Post.
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