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The Karlsruhe Institute of Technology Translation Systems for the WMT 2013.

, , , , , , and . WMT@ACL, page 104-108. The Association for Computer Linguistics, (2013)

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Low Latency ASR for Simultaneous Speech Translation., , , , , , , , and . CoRR, (2020)Graph-Based Semi-Supervised Learning for Natural Language Understanding., , , and . TextGraphs@EMNLP, page 151-158. Association for Computational Linguistics, (2019)Domain-independent Punctuation and Segmentation Insertion., , and . IWSLT, page 74-81. International Workshop on Spoken Language Translation, (2017)Machine Translation of Spontaneous Speech. Karlsruhe University, Germany, (2016)base-search.net (ftubkarlsruhe:oai:EVASTAR-Karlsruhe.de:1000056203).Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity., , , , and . ASRU, page 1077-1084. IEEE, (2019)Multilingual Disfluency Removal using NMT., , , and . IWSLT, International Workshop on Spoken Language Translation, (2016)Adaptation and Combination of NMT Systems: The KIT Translation Systems for IWSLT 2016., , , , , and . IWSLT, International Workshop on Spoken Language Translation, (2016)Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding., , , , , , , and . EMNLP (Industry Track), page 811-819. Association for Computational Linguistics, (2023)CRF-based disfluency detection using semantic features for German to English spoken language translation., , and . IWSLT, (2013)Data Augmentation using Pre-trained Transformer Models., , and . CoRR, (2020)