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Efficient Sequence Training of Attention Models Using Approximative Recombination.

, , , , and . ICASSP, page 8002-8006. IEEE, (2022)

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The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018., , , , , and . WMT (shared task), page 496-503. Association for Computational Linguistics, (2018)Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron., , , , , and . RepL4NLP@ACL, page 61-71. Association for Computational Linguistics, (2019)Detecting Various Types of Noise for Neural Machine Translation., , , and . ACL (Findings), page 2542-2551. Association for Computational Linguistics, (2022)The RWTH Aachen Machine Translation Systems for IWSLT 2017., , , and . IWSLT, page 29-34. International Workshop on Spoken Language Translation, (2017)Analysis of Positional Encodings for Neural Machine Translation., , , and . IWSLT, Association for Computational Linguistics, (2019)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)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)Data Filtering using Cross-Lingual Word Embeddings., , , and . NAACL-HLT, page 162-172. Association for Computational Linguistics, (2021)Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer., , , , , , and . IWSLT, page 276-286. Association for Computational Linguistics, (2021)Locality-Sensitive Hashing for Long Context Neural Machine Translation., , , and . IWSLT@ACL, page 32-42. Association for Computational Linguistics, (2022)