4 citations · 8 across the 7 of their papers we have counts for
7 papers
Findings of the WMT 2022 Shared Task on Translation Suggestion
Zhen Yang, Fandong Meng, Yingxue Zhang +2
We report the result of the first edition of the WMT shared task on Translation Suggestion (TS). The task aims to provide alternatives for specific words or phrases given the entir…
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…
Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement
Zhen Yang, Fandong Meng, Yuanmeng Yan +1
Word-level Quality Estimation (QE) of Machine Translation (MT) aims to find out potential translation errors in the translated sentence without reference. Typically, conventional w…
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…
Full-Sentence Models Perform Better in Simultaneous Translation Using the Information Enhanced Decoding Strategy
Zhengxin Yang
Simultaneous translation, which starts translating each sentence after receiving only a few words in source sentence, has a vital role in many scenarios. Although the previous pref…
Multiple Sclerosis Severity Classification From Clinical Text
Alister D Costa, Stefan Denkovski, Michal Malyska +5
Multiple Sclerosis (MS) is a chronic, inflammatory and degenerative neurological disease, which is monitored by a specialist using the Expanded Disability Status Scale (EDSS) and r…