Discriminative pre-trained language models (PLMs) learn to predict origi...
Conversational machine reading (CMR) requires machines to communicate wi...
Morphological analysis (MA) and lexical normalization (LN) are both impo...
Text encoding is one of the most important steps in Natural Language
Pro...
Word representation is a fundamental component in neural language
unders...
In this paper, we introduced our joint team SJTU-NICT 's participation i...
The global pandemic of COVID-19 has made the public pay close attention ...
Unsupervised neural machine translation (UNMT) has recently achieved
rem...
Unsupervised neural machine translation (UNMT) that relies solely on mas...
In Transformer-based neural machine translation (NMT), the positional
en...
Exploiting common language as an auxiliary for better translation has a ...
Existing neural machine translation (NMT) systems utilize
sequence-to-se...
Unsupervised neural machine translation (UNMT) has recently attracted gr...
State-of-the-art Transformer-based neural machine translation (NMT) syst...
We present a universal framework to model contextualized sentence
repres...
Standard neural machine translation (NMT) is on the assumption of
docume...
Reduction of training time is an important issue in many tasks like pate...
Domain adaptation methods have been well-studied in supervised neural ma...
This paper presents the NICT's participation in the WMT18 shared paralle...
This paper presents the NICT's participation to the WMT18 shared news
tr...
In Neural Machine Translation (NMT), the decoder can capture the feature...
Traditional Neural machine translation (NMT) involves a fixed training
p...
One of the difficulties of neural machine translation (NMT) is the recal...
This paper presented an open-source neural machine translation toolkit n...
Attention mechanism, including global attention and local attention, pla...
Compared to traditional statistical machine translation (SMT), neural ma...
The attention mechanisim is appealing for neural machine translation, si...
Although more additional corpora are now available for Statistical Machi...
Most of the existing methods for bilingual word embedding only consider
...