KIT’s IWSLT 2018 SLT Translation System
2018-10-01IWSLT (EMNLP) 2018Unverified0· sign in to hype
Matthias Sperber, Ngoc-Quan Pham, Thai-Son Nguyen, Jan Niehues, Markus Müller, Thanh-Le Ha, Sebastian Stüker, Alex Waibel
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
This paper describes KIT’s submission to the IWSLT 2018 Translation task. We describe a system participating in the baseline condition and a system participating in the end-to-end condition. The baseline system is a cascade of an ASR system, a system to segment the ASR output and a neural machine translation system. We investigate the combination of different ASR systems. For the segmentation and machine translation components, we focused on transformer-based architectures.