activity
20222025
most citedIs Encoder-Decoder Redundant for Neural Machine Translation?

2 citations · 6 across the 10 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

eess.AS2022

Lattice-Free Sequence Discriminative Training for Phoneme-Based Neural Transducers

Zijian Yang, Wei Zhou, Ralf Schlüter +1

Recently, RNN-Transducers have achieved remarkable results on various automatic speech recognition tasks. However, lattice-free sequence discriminative training methods, which obta…

cs.CL2022★ 2 cited

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…

cs.CL2022★ 2 cited

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…

cs.CL2022★ 2 cited

Development of Hybrid ASR Systems for Low Resource Medical Domain Conversational Telephone Speech

Christoph Lüscher, Mohammad Zeineldeen, Zijian Yang +6

Language barriers present a great challenge in our increasingly connected and global world. Especially within the medical domain, e.g. hospital or emergency room, communication dif…

cs.LG2022

Incomplete Multi-View Weak-Label Learning with Noisy Features and Imbalanced Labels

Zhiwei Li, Zijian Yang, Lu Sun +2

A variety of modern applications exhibit multi-view multi-label learning, where each sample has multi-view features, and multiple labels are correlated via common views. Current me…