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 Neural-based character-level LM algorithm to solve a Python-based character-level LM task.
- Context:
- …
- Example(s):
- 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.
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. ...