62 citations · 189 across the 5 of their papers we have counts for
5 papers
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…
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…
Temporal Attention Model for Neural Machine Translation
Baskaran Sankaran, Haitao Mi, Yaser Al-Onaizan +1
Attention-based Neural Machine Translation (NMT) models suffer from attention deficiency issues as has been observed in recent research. We propose a novel mechanism to address som…
Zero-Resource Translation with Multi-Lingual Neural Machine Translation
Orhan Firat, Baskaran Sankaran, Yaser Al-Onaizan +2
In this paper, we propose a novel finetuning algorithm for the recently introduced multi-way, mulitlingual neural machine translate that enables zero-resource machine translation.…
Coverage Embedding Models for Neural Machine Translation
Haitao Mi, Baskaran Sankaran, Zhiguo Wang +1
In this paper, we enhance the attention-based neural machine translation (NMT) by adding explicit coverage embedding models to alleviate issues of repeating and dropping translatio…