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20032026
most citedNo Language Left Behind: Scaling Human-Centered Machine Translation

373 citations · 705 across the 32 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

cs.CL2021★ 2 cited

Alternative Input Signals Ease Transfer in Multilingual Machine Translation

Simeng Sun, Angela Fan, James Cross +4

Recent work in multilingual machine translation (MMT) has focused on the potential of positive transfer between languages, particularly cases where higher-resourced languages can b…

cs.CL2021

Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation

Weiting Tan, Shuoyang Ding, Huda Khayrallah +1

Neural Machine Translation (NMT) models are known to suffer from noisy inputs. To make models robust, we generate adversarial augmentation samples that attack the model and preserv…

cs.CL2021

An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces

Kelly Marchisio, Youngser Park, Ali Saad-Eldin +4

Much recent work in bilingual lexicon induction (BLI) views word embeddings as vectors in Euclidean space. As such, BLI is typically solved by finding a linear transformation that…

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★ 9 cited

Facebook AI WMT21 News Translation Task Submission

Chau Tran, Shruti Bhosale, James Cross +3

We describe Facebook's multilingual model submission to the WMT2021 shared task on news translation. We participate in 14 language directions: English to and from Czech, German, Ha…