Word-Level Language Modeling System
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A Word-Level Language Modeling System is a language modeling system that implements a word-level language modeling algorithm to solve a word-level language modeling task.
- Context:
- It can range from being a Maximum Entropy-based Word-Level Language Modeling System, a RNN-based Word-Level Language Modeling System, ...
- Example(s):
- Counter-Example(s):
- See: Character/Word-Level Hybrid Language Modeling System.
References
2017
- https://github.com/pytorch/examples/tree/master/word_language_model
- QUOTE: This example trains a multi-layer RNN (Elman, GRU, or LSTM) on a language modeling task. By default, the training script uses the WikiText-2 dataset, provided. The trained model can then be used by the generate script to generate new text.