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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 15 of 15 1 Neuronale maschinelle Übersetzung für ressourcenarme Szenarien ... : Neural machine translation for low-resource scenarios ... Kim, Yunsu. - : RWTH Aachen University, 2022 BASE Show details 2 When and Why is Unsupervised Neural Machine Translation Useless? ... Kim, Yunsu; Graça, Miguel; Ney, Hermann. - : arXiv, 2020 BASE Show details 3 Generalizing Back-Translation in Neural Machine Translation Graça, Miguel M. Verfasser]. - Aachen : Universitätsbibliothek der RWTH Aachen, 2019 DNB Subject Category Language Show details 4 Generalizing Back-Translation in Neural Machine Translation ... Graça, Miguel M.; Kim, Yunsu; Schamper, Julian. - : RWTH Aachen University, 2019 BASE Show details 5 Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron ... Kim, Yunsu; Rosendahl, Hendrik; Rossenbach, Nick. - : arXiv, 2019 BASE Show details 6 Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages ... Kim, Yunsu; Petrov, Petre; Petrushkov, Pavel; Khadivi, Shahram; Ney, Hermann. - : arXiv, 2019 Abstract: We present effective pre-training strategies for neural machine translation (NMT) using parallel corpora involving a pivot language, i.e., source-pivot and pivot-target, leading to a significant improvement in source-target translation. We propose three methods to increase the relation among source, pivot, and target languages in the pre-training: 1) step-wise training of a single model for different language pairs, 2) additional adapter component to smoothly connect pre-trained encoder and decoder, and 3) cross-lingual encoder training via autoencoding of the pivot language. Our methods greatly outperform multilingual models up to +2.6% BLEU in WMT 2019 French-German and German-Czech tasks. We show that our improvements are valid also in zero-shot/zero-resource scenarios. ... : EMNLP 2019 camera-ready ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.1909.09524 https://arxiv.org/abs/1909.09524 BASE Hide details 7 Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes ... Kim, Yunsu; Schamper, Julian; Ney, Hermann. - : arXiv, 2019 BASE Show details 8 The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering Task Rossenbach, Nick Verfasser]. - Aachen : Universitätsbibliothek der RWTH Aachen, 2018 DNB Subject Category Language Show details 9 Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder Kim, Yunsu Verfasser]. - Aachen : Universitätsbibliothek der RWTH Aachen, 2018 DNB Subject Category Language Show details 10 The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018 Graça, Miguel M. Verfasser]. - Aachen : Universitätsbibliothek der RWTH Aachen, 2018 DNB Subject Category Language Show details 11 The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018 ... Schamper, Julian; Rosendahl, Jan; Bahar, Parnia. - : RWTH Aachen University, 2018 BASE Show details 12 The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering Task ... Rossenbach, Nick; Rosendahl, Jan; Kim, Yunsu. - : RWTH Aachen University, 2018 BASE Show details 13 Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder ... Kim, Yunsu; Geng, Jiahui; Ney, Hermann. - : RWTH Aachen University, 2018 BASE Show details 14 The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018 ... Graça, Miguel M.; Kim, Yunsu; Schamper, Julian. - : RWTH Aachen University, 2018 BASE Show details 15 Extended Translation Models in Phrase-based Decoding Guta, Andreas Verfasser]. - Aachen : Universitätsbibliothek der RWTH Aachen, 2015 DNB Subject Category Language Show details

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