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The RWTH Aachen University English-German and German-English Machine Translation System for WMT 2017., , , , , , , and . WMT, page 358-365. Association for Computational Linguistics, (2017)Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text., , , and . INTERSPEECH, page 3949-3953. ISCA, (2023)A Comparative Study on End-to-End Speech to Text Translation., , and . ASRU, page 792-799. IEEE, (2019)Tight Integrated End-to-End Training for Cascaded Speech Translation., , , and . CoRR, (2020)Automatic Video Dubbing at AppTek., , , , , , and . EAMT, page 349-350. European Association for Machine Translation, (2022)Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation., , and . EMNLP, page 3009-3015. Association for Computational Linguistics, (2018)The RWTH Aachen Machine Translation Systems for IWSLT 2017., , , and . IWSLT, page 29-34. International Workshop on Spoken Language Translation, (2017)Start-Before-End and End-to-End: Neural Speech Translation by AppTek and RWTH Aachen University., , , , , , and . IWSLT, page 44-54. Association for Computational Linguistics, (2020)Investigation of Transformer-based Latent Attention Models for Neural Machine Translation., , and . AMTA, page 7-20. Association for Machine Translation in the Americas, (2020)The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018., , , , , and . WMT (shared task), page 496-503. Association for Computational Linguistics, (2018)