284 citations · 1.1k across the 20 of their papers we have counts for
4 papers · 1 filter
Attention-based Vocabulary Selection for NMT Decoding
Baskaran Sankaran, Markus Freitag, Yaser Al-Onaizan
Neural Machine Translation (NMT) models usually use large target vocabulary sizes to capture most of the words in the target language. The vocabulary size is a big factor when deco…
Local System Voting Feature for Machine Translation System Combination
Markus Freitag, Jan-Thorsten Peter, Stephan Peitz +2
In this paper, we enhance the traditional confusion network system combination approach with an additional model trained by a neural network. This work is motivated by the fact tha…
Beam Search Strategies for Neural Machine Translation
Markus Freitag, Yaser Al-Onaizan
The basic concept in Neural Machine Translation (NMT) is to train a large Neural Network that maximizes the translation performance on a given parallel corpus. NMT is then using a…
Ensemble Distillation for Neural Machine Translation
Markus Freitag, Yaser Al-Onaizan, Baskaran Sankaran
Knowledge distillation describes a method for training a student network to perform better by learning from a stronger teacher network. Translating a sentence with an Neural Machin…