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The Role of $n$-gram Smoothing in the Age of Neural Networks

The Role of nnn-gram Smoothing in the Age of Neural Networks

25 March 2024
Luca Malagutti
Andrius Buinovskij
Anej Svete
Clara Meister
Afra Amini
Ryan Cotterell
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Papers citing "The Role of $n$-gram Smoothing in the Age of Neural Networks"

3 / 3 papers shown
Title
Better Estimation of the KL Divergence Between Language Models
Better Estimation of the KL Divergence Between Language Models
Afra Amini
Tim Vieira
Ryan Cotterell
41
0
0
14 Apr 2025
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
Nadav Borenstein
Anej Svete
R. Chan
Josef Valvoda
Franz Nowak
Isabelle Augenstein
Eleanor Chodroff
Ryan Cotterell
32
9
0
06 Jun 2024
Generalizing and Hybridizing Count-based and Neural Language Models
Generalizing and Hybridizing Count-based and Neural Language Models
Graham Neubig
Chris Dyer
54
31
0
01 Jun 2016
1