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05/26/2023
RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation
Attribute-controlled translation (ACT) is a subtask of machine translati...
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05/19/2023
Pseudo-Label Training and Model Inertia in Neural Machine Translation
Like many other machine learning applications, neural machine translatio...
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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...
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07/12/2022
Sockeye 3: Fast Neural Machine Translation with PyTorch
Sockeye 3 is the latest version of the Sockeye toolkit for Neural Machin...
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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...
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09/24/2021
Faithful Target Attribute Prediction in Neural Machine Translation
The training data used in NMT is rarely controlled with respect to speci...
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04/26/2021
Provenance-based Data Skipping (TechReport)
Database systems analyze queries to determine upfront which data is need...
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10/07/2020
Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation
While Iterative Back-Translation and Dual Learning effectively incorpora...
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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...
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05/01/2020
Evaluating Robustness to Input Perturbations for Neural Machine Translation
Neural Machine Translation (NMT) models are sensitive to small perturbat...
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11/20/2019
Controlling Neural Machine Translation Formality with Synthetic Supervision
This work aims to produce translations that convey source language conte...
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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...
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02/13/2019
Snapshot Semantics for Temporal Multiset Relations (Extended Version)
Snapshot semantics is widely used for evaluating queries over temporal d...
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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 ...
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06/12/2018
Multi-Task Neural Models for Translating Between Styles Within and Across Languages
Generating natural language requires conveying content in an appropriate...
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05/29/2018
Bi-Directional Neural Machine Translation with Synthetic Parallel Data
Despite impressive progress in high-resource settings, Neural Machine Tr...
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04/17/2018
Heuristic and Cost-based Optimization for Diverse Provenance Tasks
A well-established technique for capturing database provenance as annota...
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03/29/2018
Identifying Semantic Divergences in Parallel Text without Annotations
Recognizing that even correct translations are not always semantically e...
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07/31/2017