activity
20152022
most citedKnowledge Transfer Pre-training

14 citations · 108 across the 30 of their papers we have counts for

collaborators
Showing cs.CLShow all

11 papers · 1 filter

cs.CL2021

A Streaming End-to-End Framework For Spoken Language Understanding

Nihal Potdar, Anderson R. Avila, Chao Xing +3

End-to-end spoken language understanding (SLU) has recently attracted increasing interest. Compared to the conventional tandem-based approach that combines speech recognition and l…

cs.CL2018

Chinese Poetry Generation with Flexible Styles

Jiyuan Zhang, Dong Wang

Research has shown that sequence-to-sequence neural models, particularly those with the attention mechanism, can successfully generate classical Chinese poems. However, neural mode…

cs.CL20172 cited

Enhanced Neural Machine Translation by Learning from Draft

Aodong Li, Shiyue Zhang, Dong Wang +1

Neural machine translation (NMT) has recently achieved impressive results. A potential problem of the existing NMT algorithm, however, is that the decoding is conducted from left t…

cs.CL20174 cited

AP17-OLR Challenge: Data, Plan, and Baseline

Zhiyuan Tang, Dong Wang, Yixiang Chen +1

We present the data profile and the evaluation plan of the second oriental language recognition (OLR) challenge AP17-OLR. Compared to the event last year (AP16-OLR), the new challe…

cs.CL20172 cited

Memory-augmented Chinese-Uyghur Neural Machine Translation

Shiyue Zhang, Gulnigar Mahmut, Dong Wang +1

Neural machine translation (NMT) has achieved notable performance recently. However, this approach has not been widely applied to the translation task between Chinese and Uyghur, p…

cs.CL2017

Phone-aware Neural Language Identification

Zhiyuan Tang, Dong Wang, Yixiang Chen +2

Pure acoustic neural models, particularly the LSTM-RNN model, have shown great potential in language identification (LID). However, the phonetic information has been largely overlo…