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Featured Co-authors

Marcello Federico
33 publications
Marine Carpuat
27 publications
Kenneth Heafield
22 publications
Yaser Al-Onaizan
20 publications
Sudha Rao
17 publications
Prashant Mathur
15 publications
Georgiana Dinu
15 publications
Weijia Xu
15 publications
Boris Glavic
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Phu Mon Htut
14 publications
Yogarshi Vyas
14 publications

∙ 05/26/2023

RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation

Attribute-controlled translation (ACT) is a subtask of machine translati...

0 Gabriele Sarti, et al. ∙

∙ 05/19/2023

Pseudo-Label Training and Model Inertia in Neural Machine Translation

Like many other machine learning applications, neural machine translatio...

0 Benjamin Hsu, et al. ∙

∙ 11/02/2022

MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation

As generic machine translation (MT) quality has improved, the need for t...

0 Anna Currey, et al. ∙

∙ 07/12/2022

Sockeye 3: Fast Neural Machine Translation with PyTorch

Sockeye 3 is the latest version of the Sockeye toolkit for Neural Machin...

15 Felix Hieber, et al. ∙

∙ 05/09/2022

CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality

The machine translation (MT) task is typically formulated as that of ret...

0 Maria Nădejde, et al. ∙

∙ 09/24/2021

Faithful Target Attribute Prediction in Neural Machine Translation

The training data used in NMT is rarely controlled with respect to speci...

0 Xing Niu, et al. ∙

∙ 04/26/2021

Provenance-based Data Skipping (TechReport)

Database systems analyze queries to determine upfront which data is need...

0 Xing Niu, et al. ∙

∙ 10/07/2020

Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation

While Iterative Back-Translation and Dual Learning effectively incorpora...

0 Weijia Xu, et al. ∙

∙ 08/11/2020

The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020

We present Sockeye 2, a modernized and streamlined version of the Sockey...

0 Tobias Domhan, et al. ∙

∙ 05/01/2020

Evaluating Robustness to Input Perturbations for Neural Machine Translation

Neural Machine Translation (NMT) models are sensitive to small perturbat...

0 Xing Niu, et al. ∙

∙ 11/20/2019

Controlling Neural Machine Translation Formality with Synthetic Supervision

This work aims to produce translations that convey source language conte...

0 Xing Niu, et al. ∙

∙ 04/04/2019

Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation

Despite some empirical success at correcting exposure bias in machine tr...

0 Weijia Xu, et al. ∙

∙ 02/13/2019

Snapshot Semantics for Temporal Multiset Relations (Extended Version)

Snapshot semantics is widely used for evaluating queries over temporal d...

0 Anton Dignös, et al. ∙

∙ 11/02/2018

Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation

We aim to better exploit the limited amounts of parallel text available ...

0 Xing Niu, et al. ∙

∙ 06/12/2018

Multi-Task Neural Models for Translating Between Styles Within and Across Languages

Generating natural language requires conveying content in an appropriate...

0 Xing Niu, et al. ∙

∙ 05/29/2018

Bi-Directional Neural Machine Translation with Synthetic Parallel Data

Despite impressive progress in high-resource settings, Neural Machine Tr...

0 Xing Niu, et al. ∙

∙ 04/17/2018

Heuristic and Cost-based Optimization for Diverse Provenance Tasks

A well-established technique for capturing database provenance as annota...

0 Xing Niu, et al. ∙

∙ 03/29/2018

Identifying Semantic Divergences in Parallel Text without Annotations

Recognizing that even correct translations are not always semantically e...

0 Yogarshi Vyas, et al. ∙

∙ 07/31/2017

Debugging Transactions and Tracking their Provenance with Reenactment

Debugging transactions and understanding their execution are of immense ...

0 Xing Niu, et al. ∙

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