13 citations · 13 across the 1 of their papers we have counts for
2 papers
cs.CL2015★ 13 cited
Scaling Recurrent Neural Network Language Models
Will Williams, Niranjani Prasad, David Mrva +2
This paper investigates the scaling properties of Recurrent Neural Network Language Models (RNNLMs). We discuss how to train very large RNNs on GPUs and address the questions of ho…
cs.CL2013
One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling
Ciprian Chelba, Tomas Mikolov, Mike Schuster +4
We propose a new benchmark corpus to be used for measuring progress in statistical language modeling. With almost one billion words of training data, we hope this benchmark will be…