activity
20192022
most citedGCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling

10 citations · 19 across the 16 of their papers we have counts for

collaborators

19 papers

cs.CL2022

BJTU-WeChat's Systems for the WMT22 Chat Translation Task

Yunlong Liang, Fandong Meng, Jinan Xu +2

This paper introduces the joint submission of the Beijing Jiaotong University and WeChat AI to the WMT'22 chat translation task for English-German. Based on the Transformer, we app…

cs.CL2022

Improved Data Augmentation for Translation Suggestion

Hongxiao Zhang, Siyu Lai, Songming Zhang +4

Translation suggestion (TS) models are used to automatically provide alternative suggestions for incorrect spans in sentences generated by machine translation. This paper introduce…

cs.CL2022

Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment

Siyu Lai, Zhen Yang, Fandong Meng +3

Word alignment which aims to extract lexicon translation equivalents between source and target sentences, serves as a fundamental tool for natural language processing. Recent studi…

cs.CL2022

Scheduled Multi-task Learning for Neural Chat Translation

Yunlong Liang, Fandong Meng, Jinan Xu +2

Neural Chat Translation (NCT) aims to translate conversational text into different languages. Existing methods mainly focus on modeling the bilingual dialogue characteristics (e.g.…

cs.CL2022

Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation

Siyu Lai, Zhen Yang, Fandong Meng +4

Generating adversarial examples for Neural Machine Translation (NMT) with single Round-Trip Translation (RTT) has achieved promising results by releasing the meaning-preserving res…

cs.CL2022

A Variational Hierarchical Model for Neural Cross-Lingual Summarization

Yunlong Liang, Fandong Meng, Chulun Zhou +4

The goal of the cross-lingual summarization (CLS) is to convert a document in one language (e.g., English) to a summary in another one (e.g., Chinese). Essentially, the CLS task is…