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12/01/2022
CUNI Systems for the WMT22 Czech-Ukrainian Translation Task
We present Charles University submissions to the WMT22 General Translati...
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12/01/2022
CUNI Non-Autoregressive System for the WMT 22 Efficient Translation Shared Task
We present a non-autoregressive system submission to the WMT 22 Efficien...
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05/04/2022
Non-Autoregressive Machine Translation: It's Not as Fast as it Seems
Efficient machine translation models are commercially important as they ...
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09/01/2021
Survey of Low-Resource Machine Translation
We present a survey covering the state of the art in low-resource machin...
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04/07/2020
Improving Fluency of Non-Autoregressive Machine Translation
Non-autoregressive (nAR) models for machine translation (MT) manifest su...
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06/21/2019
CUNI System for the WMT19 Robustness Task
We present our submission to the WMT19 Robustness Task. Our baseline sys...
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11/12/2018
End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification
Autoregressive decoding is the only part of sequence-to-sequence models ...
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11/12/2018
Input Combination Strategies for Multi-Source Transformer Decoder
In multi-source sequence-to-sequence tasks, the attention mechanism can ...
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11/12/2018
CUNI System for the WMT18 Multimodal Translation Task
We present our submission to the WMT18 Multimodal Translation Task. The ...
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07/24/2017
Deep Architectures for Neural Machine Translation
It has been shown that increasing model depth improves the quality of ne...
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07/14/2017
CUNI System for the WMT17 Multimodal Translation Task
In this paper, we describe our submissions to the WMT17 Multimodal Trans...
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04/21/2017
Attention Strategies for Multi-Source Sequence-to-Sequence Learning
Modeling attention in neural multi-source sequence-to-sequence learning ...
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06/23/2016
