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

9 citations · 23 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL20221 cited

TSMind: Alibaba and Soochow University's Submission to the WMT22 Translation Suggestion Task

Xin Ge, Ke Wang, Jiayi Wang +4

This paper describes the joint submission of Alibaba and Soochow University, TSMind, to the WMT 2022 Shared Task on Translation Suggestion (TS). We participate in the English-Germa…

cs.CL2022

Third-Party Aligner for Neural Word Alignments

Jinpeng Zhang, Chuanqi Dong, Xiangyu Duan +2

Word alignment is to find translationally equivalent words between source and target sentences. Previous work has demonstrated that self-training can achieve competitive word align…

cs.CL20212 cited

Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction

Jinpeng Zhang, Baijun Ji, Nini Xiao +4

Bilingual Lexicon Induction (BLI) aims to map words in one language to their translations in another, and is typically through learning linear projections to align monolingual word…

cs.CL2020

Token Drop mechanism for Neural Machine Translation

Huaao Zhang, Shigui Qiu, Xiangyu Duan +1

Neural machine translation with millions of parameters is vulnerable to unfamiliar inputs. We propose Token Drop to improve generalization and avoid overfitting for the NMT model.…

cs.CL20209 cited

Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences

Xiangyu Duan, Baijun Ji, Hao Jia +5

In this paper, we propose a new task of machine translation (MT), which is based on no parallel sentences but can refer to a ground-truth bilingual dictionary. Motivated by the abi…

cs.CL20198 cited

Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation

Baijun Ji, Zhirui Zhang, Xiangyu Duan +3

Transfer learning between different language pairs has shown its effectiveness for Neural Machine Translation (NMT) in low-resource scenario. However, existing transfer methods inv…