2018
EMNLP
EMNLP 2018
KIT’s IWSLT 2018 SLT Translation System
Abstract
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.
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Interdisciplinary Bridge
— Deep Learning and Natural Language Processing and Speech & Audio
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Keyword Pioneer
— speech to speech translation
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Hot Topic Early Bird
— model ensemble
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio