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@@ -41,7 +41,7 @@ To freeze the weights of the adaptive model and evaluate it on `heldout_set.txt`
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## Features
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* Outputs incremental word-by-word information-theoretic complexity estimates (i.e. surprisal, entropy, entropy reduction) if the runtime command `--words` is given.
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* Can function as an [adaptive language model](https://vansky.github.io/assets/pdf/vanschijndel_linzen-2018-emnlp_adapt.pdf) if the runtime command `--adapt` is given (van Schijndel and Linzen, 2018)
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* Can function as an [adaptive language model](http://aclweb.org/anthology/D18-1499) if the runtime command `--adapt` is given (van Schijndel and Linzen, 2018). [Complete replication instructions](https://github.com/vansky/replications/blob/master/vanschijndel_linzen-2018-emnlp/vanschijndel_linzen-2018-emnlp-replication.md)
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* Can operate interactively
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* Early convergence detection (when loss is the same for 3 consecutive training epochs)
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* Any words in the test corpus which were not seen during training are converted to `<unk>`. The probability of `<unk>` can be explicitly trained on `<unk>` tokens in the training data and/or implicitly learned using new words seen during validation.
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