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20162021
most citedIs Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions

150 citations · 254 across the 10 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CL2021★ 1 cited

The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task

Shuoyang Ding, Marcin Junczys-Dowmunt, Matt Post +2

This paper presents the JHU-Microsoft joint submission for WMT 2021 quality estimation shared task. We only participate in Task 2 (post-editing effort estimation) of the shared tas…

cs.CL2021

Levenshtein Training for Word-level Quality Estimation

Shuoyang Ding, Marcin Junczys-Dowmunt, Matt Post +1

We propose a novel scheme to use the Levenshtein Transformer to perform the task of word-level quality estimation. A Levenshtein Transformer is a natural fit for this task: trained…

cs.CL2021★ 82 cited

To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation

Tom Kocmi, Christian Federmann, Roman Grundkiewicz +3

Automatic metrics are commonly used as the exclusive tool for declaring the superiority of one machine translation system's quality over another. The community choice of automatic…

cs.CL2021★ 1 cited

On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs

Roman Grundkiewicz, Marcin Junczys-Dowmunt, Christian Federmann +1

Recent studies emphasize the need of document context in human evaluation of machine translations, but little research has been done on the impact of user interfaces on annotator p…

cs.CL2021

The Curious Case of Hallucinations in Neural Machine Translation

Vikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt

In this work, we study hallucinations in Neural Machine Translation (NMT), which lie at an extreme end on the spectrum of NMT pathologies. Firstly, we connect the phenomenon of hal…