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The RWTH Aachen University English-German and German-English Machine Translation System for WMT 2017.

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The RWTH Aachen machine translation system for IWSLT 2015., , , , , and . IWSLT (Evaluation Campaign), (2015)The RWTH Aachen University English-Romanian Machine Translation System for WMT 2016., , , and . WMT, page 356-361. The Association for Computer Linguistics, (2016)Extended Translation Models in Phrase-based Decoding., , , , and . WMT@EMNLP, page 282-293. The Association for Computer Linguistics, (2015)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)The RWTH Aachen machine translation systems for IWSLT 2014., , , and . IWSLT (Evaluation Campaign), (2014)A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing., , , and . WMT, page 110-117. The Association for Computer Linguistics, (2016)Vector Space Models for Phrase-based Machine Translation., , and . SSST@EMNLP, page 1-10. Association for Computational Linguistics, (2014)A Comparison between Count and Neural Network Models Based on Joint Translation and Reordering Sequences., , , , and . EMNLP, page 1401-1411. The Association for Computational Linguistics, (2015)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)Alignment-Based Neural Machine Translation., , , , , and . WMT, page 54-65. The Association for Computer Linguistics, (2016)