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20202023
most citedIncorporating BERT into Parallel Sequence Decoding with Adapters

40 citations · 229 across the 25 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

cs.CL2021★ 3 cited

QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task

Jiayi Wang, Ke Wang, Boxing Chen +3

Quality Estimation, as a crucial step of quality control for machine translation, has been explored for years. The goal is to investigate automatic methods for estimating the quali…

cs.CL2021★ 2 cited

Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement

Yichao Du, Zhirui Zhang, Weizhi Wang +3

End-to-end speech-to-text translation (E2E-ST) is becoming increasingly popular due to the potential of its less error propagation, lower latency, and fewer parameters. Given the t…

cs.CL2021

Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables

Weizhi Wang, Zhirui Zhang, Yichao Du +3

Zero-shot translation, directly translating between language pairs unseen in training, is a promising capability of multilingual neural machine translation (NMT). However, it usual…

cs.CL2021★ 1 cited

Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation

Xin Zheng, Zhirui Zhang, Shujian Huang +4

Recently, NN-MT has shown the promising capability of directly incorporating the pre-trained neural machine translation (NMT) model with domain-specific token-level -nearest-…

cs.CL2021★ 35 cited

Task-Oriented Dialogue System as Natural Language Generation

Weizhi Wang, Zhirui Zhang, Junliang Guo +3

In this paper, we propose to formulate the task-oriented dialogue system as the purely natural language generation task, so as to fully leverage the large-scale pre-trained models…

cs.CL2021★ 3 cited

G-Transformer for Document-level Machine Translation

Guangsheng Bao, Yue Zhang, Zhiyang Teng +2

Document-level MT models are still far from satisfactory. Existing work extend translation unit from single sentence to multiple sentences. However, study shows that when we furthe…