Prior works have demonstrated that a low-resource language pair can bene...
Transformer models are powerful sequence-to-sequence architectures that ...
User studies have shown that reducing the latency of our simultaneous le...
Among the six challenges of neural machine translation (NMT) coined by (...
While translating between Chinese-centric languages, many works have
dis...
An important concern in training multilingual neural machine translation...
Through the development of neural machine translation, the quality of ma...
Neural machine translation (NMT) systems have recently obtained state-of...
In this paper, we proposed two strategies which can be applied to a
mult...
In this paper, we offer an in-depth analysis about the modeling and sear...
In this paper, we present our first attempts in building a multilingual
...
Recently, the development of neural machine translation (NMT) has
signif...
In this paper we combine the advantages of a model using global source
s...