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Found 13 papers, 0 papers with code
Tune in: The AFRL WMT21 News-Translation Systems
This paper describes the Air Force Research Laboratory (AFRL) machine translation sys- tems and the improvements that were developed during the WMT21 evaluation campaign.
The AFRL IWSLT 2018 Systems: What Worked, What Didn’t
This report summarizes the Air Force Research Laboratory (AFRL) machine translation (MT) and automatic speech recognition (ASR) systems submitted to the spoken language translation (SLT) and low-resource MT tasks as part of the IWSLT18 evaluation campaign.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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The MITLL-AFRL IWSLT 2016 Systems
This report summarizes the MITLL-AFRL MT and ASR systems and the experiments run during the 2016 IWSLT evaluation campaign.
Quality and Coverage: The AFRL Submission to the WMT19 Parallel Corpus Filtering for Low-Resource Conditions Task
The WMT19 Parallel Corpus Filtering For Low-Resource Conditions Task aims to test various methods of filtering a noisy parallel corpora, to make them useful for training machine translation systems.
The AFRL WMT19 Systems: Old Favorites and New Tricks
This paper describes the Air Force Research Laboratory (AFRL) machine translation systems and the improvements that were developed during the WMT19 evaluation campaign.
The AFRL WMT18 Systems: Ensembling, Continuation and Combination
This paper describes the Air Force Research Laboratory (AFRL) machine translation systems and the improvements that were developed during the WMT18 evaluation campaign.
The AFRL-Ohio State WMT18 Multimodal System: Combining Visual with Traditional
AFRL-Ohio State extends its usage of visual domain-driven machine translation for use as a peer with traditional machine translation systems.
Coverage and Cynicism: The AFRL Submission to the WMT 2018 Parallel Corpus Filtering Task
The WMT 2018 Parallel Corpus Filtering Task aims to test various methods of filtering a noisy parallel corpus, to make it useful for training machine translation systems.
