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The RWTH Aachen University English-Romanian Machine Translation System for WMT 2016.

, , , and . WMT, page 356-361. The Association for Computer Linguistics, (2016)

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The RWTH Aachen University English-Romanian Machine Translation System for WMT 2016., , , and . WMT, page 356-361. The Association for Computer Linguistics, (2016)Investigations on Phrase-based Decoding with Recurrent Neural Network Language and Translation Models., , and . WMT@EMNLP, page 294-303. The Association for Computer Linguistics, (2015)Eliciting Better Multilingual Structured Reasoning from LLMs through Code., , , , and . CoRR, (2024)RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition., , and . ACL (4), page 128-133. Association for Computational Linguistics, (2018)The RWTH Aachen machine translation systems for IWSLT 2013., , , , , , and . IWSLT (Evaluation Campaign), (2013)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)Neural Hidden Markov Model for Machine Translation., , , , and . ACL (2), page 377-382. Association for Computational Linguistics, (2018)Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation., , , and . ACL (2), page 125-131. Association for Computational Linguistics, (2017)On The Alignment Problem In Multi-Head Attention-Based Neural Machine Translation., , and . WMT, page 177-185. Association for Computational Linguistics, (2018)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)