17 citations · 22 across the 5 of their papers we have counts for
8 papers
Does Joint Training Really Help Cascaded Speech Translation?
Viet Anh Khoa Tran, David Thulke, Yingbo Gao +2
Currently, in speech translation, the straightforward approach - cascading a recognition system with a translation system - delivers state-of-the-art results. However, fundamental…
Is Encoder-Decoder Redundant for Neural Machine Translation?
Yingbo Gao, Christian Herold, Zijian Yang +1
Encoder-decoder architecture is widely adopted for sequence-to-sequence modeling tasks. For machine translation, despite the evolution from long short-term memory networks to Trans…
Revisiting Checkpoint Averaging for Neural Machine Translation
Yingbo Gao, Christian Herold, Zijian Yang +1
Checkpoint averaging is a simple and effective method to boost the performance of converged neural machine translation models. The calculation is cheap to perform and the fact that…
Diving Deep into Context-Aware Neural Machine Translation
Jingjing Huo, Christian Herold, Yingbo Gao +3
Context-aware neural machine translation (NMT) is a promising direction to improve the translation quality by making use of the additional context, e.g., document-level translation…
Investigation of Large-Margin Softmax in Neural Language Modeling
Jingjing Huo, Yingbo Gao, Weiyue Wang +2
To encourage intra-class compactness and inter-class separability among trainable feature vectors, large-margin softmax methods are developed and widely applied in the face recogni…
Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
Yingbo Gao, Christian Herold, Weiyue Wang +1
Prominently used in support vector machines and logistic regressions, kernel functions (kernels) can implicitly map data points into high dimensional spaces and make it easier to l…