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Correction of Automatic Speech Recognition with Transformer Sequence-To-Sequence Model., , and . ICASSP, page 7074-7078. IEEE, (2020)NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2023., , , and . IWSLT@ACL, page 442-448. Association for Computational Linguistics, (2023)Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks., , , , , , , , and . CoRR, (2019)NeMo: a toolkit for building AI applications using Neural Modules, , , , , , , , , and 4 other author(s). (2019)cite arxiv:1909.09577Comment: 6 pages plus references.Leveraging Synthetic Targets for Machine Translation., , and . ACL (Findings), page 9365-9379. Association for Computational Linguistics, (2023)Catalyst.RL: A Distributed Framework for Reproducible RL Research., and . CoRR, (2019)Fast Conformer With Linearly Scalable Attention For Efficient Speech Recognition., , , , , , , , , and 1 other author(s). ASRU, page 1-8. IEEE, (2023)Tensorized Embedding Layers., , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 4847-4860. Association for Computational Linguistics, (2020)NVIDIA NeMo's Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21., , , and . WMT@EMNLP, page 197-204. Association for Computational Linguistics, (2021)Generalized Tensor Models for Recurrent Neural Networks., , and . ICLR (Poster), OpenReview.net, (2019)