Character-Level Language Model (LM) Training Algorithm: Difference between revisions
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** a [[Word-Level Language Modeling Method]]. | ** a [[Word-Level Language Modeling Method]]. | ||
* <B>See:</B> [[Maximum Likelihood-based Character-Level Language Modeling Algorithm]]. | * <B>See:</B> [[Maximum Likelihood-based Character-Level Language Modeling Algorithm]]. | ||
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Latest revision as of 22:24, 16 June 2021
A Character-Level Language Model (LM) Training Algorithm is a language modeling algorithm that operates that the string character-level (to produce a character-level LM).
- Context:
- It can be implemented by a Character-Level LM System (to solve a character-level LM task).
- Example(s):
- Counter-Example(s):
- See: Maximum Likelihood-based Character-Level Language Modeling Algorithm.
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. …