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08/14/2023
SOTASTREAM: A Streaming Approach to Machine Translation Training
Many machine translation toolkits make use of a data preparation step wh...
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07/22/2021
To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation
Automatic metrics are commonly used as the exclusive tool for declaring ...
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04/21/2021
On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs
Recent studies emphasize the need of document context in human evaluatio...
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07/12/2019
The University of Edinburgh's Submissions to the WMT19 News Translation Task
The University of Edinburgh participated in the WMT19 Shared Task on New...
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09/01/2018
MS-UEdin Submission to the WMT2018 APE Shared Task: Dual-Source Transformer for Automatic Post-Editing
This paper describes the Microsoft and University of Edinburgh submissio...
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05/30/2018
Marian: Cost-effective High-Quality Neural Machine Translation in C++
This paper describes the submissions of the "Marian" team to the WNMT 20...
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04/16/2018
Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation
We combine two of the most popular approaches to automated Grammatical E...
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04/16/2018
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task
Previously, neural methods in grammatical error correction (GEC) did not...
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04/01/2018
Marian: Fast Neural Machine Translation in C++
We present Marian, an efficient and self-contained Neural Machine Transl...
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06/13/2017
An Exploration of Neural Sequence-to-Sequence Architectures for Automatic Post-Editing
In this work, we explore multiple neural architectures adapted for the t...
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05/20/2016
Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction
In this work, we study parameter tuning towards the M^2 metric, the stan...
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05/16/2016
