The AFRL IWSLT 2018 Systems: What Worked, What Didn’t

Brian Ore, Eric Hansen, Katherine Young, Grant Erdmann, Jeremy Gwinnup


Abstract
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.
Anthology ID:
2018.iwslt-1.18
Volume:
Proceedings of the 15th International Conference on Spoken Language Translation
Month:
October 29-30
Year:
2018
Address:
Brussels
Editors:
Marco Turchi, Jan Niehues, Marcello Frederico
Venue:
IWSLT
SIG:
SIGSLT
Publisher:
International Conference on Spoken Language Translation
Note:
Pages:
124–130
Language:
URL:
https://aclanthology.org/2018.iwslt-1.18
DOI:
Bibkey:
Cite (ACL):
Brian Ore, Eric Hansen, Katherine Young, Grant Erdmann, and Jeremy Gwinnup. 2018. The AFRL IWSLT 2018 Systems: What Worked, What Didn’t. In Proceedings of the 15th International Conference on Spoken Language Translation, pages 124–130, Brussels. International Conference on Spoken Language Translation.
Cite (Informal):
The AFRL IWSLT 2018 Systems: What Worked, What Didn’t (Ore et al., IWSLT 2018)
Copy Citation:
PDF:
https://preview.aclanthology.org/naacl-24-ws-corrections/2018.iwslt-1.18.pdf