The AFRL-MITLL WMT16 News-Translation Task Systems
By Jeremy Gwinnup, Tim Anderson, Grant Erdmann, Katherine Young, Michaeel Kazi, Elizabeth Salesky, Brian Thompson. 2016
5 citations recorded by the source corpus.
This paper describes the AFRL-MITLL statistical machine translation systems and the improvements that were developed during the WMT16 evaluation campaign. New techniques applied this year include Neural Machine Translation, a unique selection process for language modelling data, additional out-of-vocabulary transliteration techniques, and morphology generation.
Subfields: Artificial Intelligence
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In Artificial Intelligence
- Miloš Stanojević
- Ondrej Bojar
- Amir Kamran
- Bushra Jawaid
- Thibault Sellam
- Mitesh M. Khapra
- Akash Kumar Mohankumar
- Ananya B. Sai
Citations in the corpus
- Results of the WMT16 Tuning Shared Task (2016, methodology): “System Participant BLEU-MIRA, BLEU-MERT baselines AFRL United States Air Force Research Laboratory (Gwinnup et al., 2016) DCU Dublin City University (Li et al.”