activity
20182022
most citedTo Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation

82 citations · 112 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL20227 cited

SALTED: A Framework for SAlient Long-Tail Translation Error Detection

Vikas Raunak, Matt Post, Arul Menezes

Traditional machine translation (MT) metrics provide an average measure of translation quality that is insensitive to the long tail of behavioral problems in MT. Examples include t…

cs.CL202182 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

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…

cs.CL202023 cited

XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders

Shuming Ma, Jian Yang, Haoyang Huang +10

Multilingual machine translation enables a single model to translate between different languages. Most existing multilingual machine translation systems adopt a randomly initialize…

cs.CL2018

Achieving Human Parity on Automatic Chinese to English News Translation

Hany Hassan, Anthony Aue, Chang Chen +21

Machine translation has made rapid advances in recent years. Millions of people are using it today in online translation systems and mobile applications in order to communicate acr…