97 citations · 400 across the 54 of their papers we have counts for
6 papers · 1 filter
Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling
Yu Wan, Baosong Yang, Derek F. Wong +3
As a special machine translation task, dialect translation has two main characteristics: 1) lack of parallel training corpus; and 2) possessing similar grammar between two sides of…
Shared-Private Bilingual Word Embeddings for Neural Machine Translation
Xuebo Liu, Derek F. Wong, Yang Liu +3
Word embedding is central to neural machine translation (NMT), which has attracted intensive research interest in recent years. In NMT, the source embedding plays the role of the e…
Learning Deep Transformer Models for Machine Translation
Qiang Wang, Bei Li, Tong Xiao +4
Transformer is the state-of-the-art model in recent machine translation evaluations. Two strands of research are promising to improve models of this kind: the first uses wide netwo…
Assessing the Ability of Self-Attention Networks to Learn Word Order
Baosong Yang, Longyue Wang, Derek F. Wong +2
Self-attention networks (SAN) have attracted a lot of interests due to their high parallelization and strong performance on a variety of NLP tasks, e.g. machine translation. Due to…
Convolutional Self-Attention Networks
Baosong Yang, Longyue Wang, Derek Wong +2
Self-attention networks (SANs) have drawn increasing interest due to their high parallelization in computation and flexibility in modeling dependencies. SANs can be further enhance…
Context-Aware Self-Attention Networks
Baosong Yang, Jian Li, Derek Wong +3
Self-attention model have shown its flexibility in parallel computation and the effectiveness on modeling both long- and short-term dependencies. However, it calculates the depende…