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Document-Level Neural Machine Translation with Hierarchical Attention Networks., , , и . EMNLP, стр. 2947-2954. Association for Computational Linguistics, (2018)Subspace Detection of DNN Posterior Probabilities via Sparse Representation for Query by Example Spoken Term Detection., , и . INTERSPEECH, стр. 918-922. ISCA, (2016)Global-Context Neural Machine Translation through Target-Side Attentive Residual Connections., , , и . CoRR, (2017)Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer., , , , и . EMNLP (Findings), стр. 2775-2786. Association for Computational Linguistics, (2023)Sparse modeling of posterior exemplars for keyword detection., , , и . INTERSPEECH, стр. 3690-3694. ISCA, (2015)Phonological Posterior Hashing for Query by Example Spoken Term Detection., , и . INTERSPEECH, стр. 2067-2071. ISCA, (2018)Self-Attentive Residual Decoder for Neural Machine Translation., , , и . NAACL-HLT, стр. 1366-1379. Association for Computational Linguistics, (2018)A Bayesian approach to speaker normalization using vowel formant frequency., , и . NCC, стр. 1-6. IEEE, (2014)HLAT: High-quality Large Language Model Pre-trained on AWS Trainium., , , , , , , , и . CoRR, (2024)CNN Based Query by Example Spoken Term Detection., , и . INTERSPEECH, стр. 92-96. ISCA, (2018)