343 citations · 365 across the 8 of their papers we have counts for
3 papers · 1 filter
An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation
Makoto Morishita, Yusuke Oda, Graham Neubig +3
Training of neural machine translation (NMT) models usually uses mini-batches for efficiency purposes. During the mini-batched training process, it is necessary to pad shorter sent…
Neural Machine Translation via Binary Code Prediction
Yusuke Oda, Philip Arthur, Graham Neubig +2
In this paper, we propose a new method for calculating the output layer in neural machine translation systems. The method is based on predicting a binary code for each word and can…
DyNet: The Dynamic Neural Network Toolkit
Graham Neubig, Chris Dyer, Yoav Goldberg +22
We describe DyNet, a toolkit for implementing neural network models based on dynamic declaration of network structure. In the static declaration strategy that is used in toolkits l…