activity
20192022
most citedBilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences

9 citations · 39 across the 10 of their papers we have counts for

collaborators

13 papers

cs.CL20227 cited

RoBLEURT Submission for the WMT2021 Metrics Task

Yu Wan, Dayiheng Liu, Baosong Yang +6

In this paper, we present our submission to Shared Metrics Task: RoBLEURT (Robustly Optimizing the training of BLEURT). After investigating the recent advances of trainable metrics…

cs.CL2022

Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation

Xiangpeng Wei, Heng Yu, Yue Hu +4

The principal task in supervised neural machine translation (NMT) is to learn to generate target sentences conditioned on the source inputs from a set of parallel sentence pairs, a…

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.CL20212 cited

Towards Variable-Length Textual Adversarial Attacks

Junliang Guo, Zhirui Zhang, Linlin Zhang +4

Adversarial attacks have shown the vulnerability of machine learning models, however, it is non-trivial to conduct textual adversarial attacks on natural language processing tasks…

cs.CL2020

Exploiting Neural Query Translation into Cross Lingual Information Retrieval

Liang Yao, Baosong Yang, Haibo Zhang +2

As a crucial role in cross-language information retrieval (CLIR), query translation has three main challenges: 1) the adequacy of translation; 2) the lack of in-domain parallel tra…

cs.CL2020

Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval

Tianchi Bi, Liang Yao, Baosong Yang +3

Query translation (QT) is a key component in cross-lingual information retrieval system (CLIR). With the help of deep learning, neural machine translation (NMT) has shown promising…