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End-To-End Training of a Neural HMM with Label and Transition Probabilities., , , , and . ASRU, page 1-8. IEEE, (2023)Alignment-Based Neural Machine Translation., , , , , and . WMT, page 54-65. The Association for Computer Linguistics, (2016)Towards a Better Evaluation of Metrics for Machine Translation., , and . WMT@EMNLP, page 928-933. Association for Computational Linguistics, (2020)The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering Task., , , , , and . WMT (shared task), page 946-954. Association for Computational Linguistics, (2018)Word Error Rates: Decomposition over POS classes and Applications for Error Analysis., and . WMT@ACL, page 48-55. Association for Computational Linguistics, (2007)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)Diving Deep into Context-Aware Neural Machine Translation., , , , , and . WMT@EMNLP, page 604-616. Association for Computational Linguistics, (2020)Syntax-Oriented Evaluation Measures for Machine Translation Output., and . WMT@EACL, page 29-32. Association for Computational Linguistics, (2009)Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information., and . WMT, page 108-117. Association for Computational Linguistics, (2017)Speech recognition in a neural network framework: discriminative training of Gaussian models and mixture densities as radial basis functions.. ICASSP, page 573-576. IEEE Computer Society, (1991)