Recurrent Neural Language Models as Probabilistic Finite-state Automata
Published in EMNLP 2023, 2023
We study what classes of such probability distributions RNN LMs can represent and show that simple RNNs are equivalent to a subclass of probabilistic finite-state automata, and can thus model a strict subset of probability distributions expressible by finite-state models.
Citation BibTeX
:
@inproceedings{svete-etal-2023-recurrent,
title = "Recurrent Neural Language Models as Probabilistic Finite-state Automata",
author = "Svete, Anej and
Cotterell, Ryan",
booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
month = dec,
year = "2023",
address = "Singapore, Singapore",
publisher = "Association for Computational Linguistics",
}