activity
20162024
most citedNo Language Left Behind: Scaling Human-Centered Machine Translation

373 citations · 842 across the 24 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CL2020★ 11 cited

Improving Zero-Shot Translation by Disentangling Positional Information

Danni Liu, Jan Niehues, James Cross +2

Multilingual neural machine translation has shown the capability of directly translating between language pairs unseen in training, i.e. zero-shot translation. Despite being concep…

cs.CL2020★ 22 cited

A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning

Chang Xu, Jun Wang, Yuqing Tang +3

As modern neural machine translation (NMT) systems have been widely deployed, their security vulnerabilities require close scrutiny. Most recently, NMT systems have been found vuln…

cs.CL2020

MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset

Marina Fomicheva, Shuo Sun, Erick Fonseca +7

We present MLQE-PE, a new dataset for Machine Translation (MT) Quality Estimation (QE) and Automatic Post-Editing (APE). The dataset contains eleven language pairs, with human labe…

cs.CL2020

Unsupervised Quality Estimation for Neural Machine Translation

Marina Fomicheva, Shuo Sun, Lisa Yankovskaya +6

Quality Estimation (QE) is an important component in making Machine Translation (MT) useful in real-world applications, as it is aimed to inform the user on the quality of the MT o…

cs.CL2020★ 2 cited

Massively Multilingual Document Alignment with Cross-lingual Sentence-Mover's Distance

Ahmed El-Kishky, Francisco Guzmán

Document alignment aims to identify pairs of documents in two distinct languages that are of comparable content or translations of each other. Such aligned data can be used for a v…