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2018 EMNLP EMNLP 2018

KIT’s IWSLT 2018 SLT Translation System

AbstractThis 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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing and Speech & Audio
🧭 Keyword Pioneer - end-to-end translation
🐣 Hot Topic Early Bird - speech translation

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