127 citations · 255 across the 15 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.CL2019★ 18 cited
Federated Learning of N-gram Language Models
Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews +4
We propose algorithms to train production-quality n-gram language models using federated learning. Federated learning is a distributed computation platform that can be used to trai…
cs.CL2019
Approximating probabilistic models as weighted finite automata
Ananda Theertha Suresh, Brian Roark, Michael Riley +1
Weighted finite automata (WFA) are often used to represent probabilistic models, such as -gram language models, since they are efficient for recognition tasks in time and space.…