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Observation of new excited ${B} ^0_{s} $ states
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In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-03010999 ; Eur.Phys.J.C, 2021, 81 (7), pp.601. ⟨10.1140/epjc/s10052-021-09305-3⟩ (2021)
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End-to-end Speech Translation via Cross-modal Progressive Training ...
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Abstract:
End-to-end speech translation models have become a new trend in research due to their potential of reducing error propagation. However, these models still suffer from the challenge of data scarcity. How to effectively use unlabeled or other parallel corpora from machine translation is promising but still an open problem. In this paper, we propose Cross Speech-Text Network (XSTNet), an end-to-end model for speech-to-text translation. XSTNet takes both speech and text as input and outputs both transcription and translation text. The model benefits from its three key design aspects: a self-supervised pre-trained sub-network as the audio encoder, a multi-task training objective to exploit additional parallel bilingual text, and a progressive training procedure. We evaluate the performance of XSTNet and baselines on the MuST-C En-X and LibriSpeech En-Fr datasets. In particular, XSTNet achieves state-of-the-art results on all language directions with an average BLEU of 28.8, outperforming the previous best method ... : Accepted at InterSpeech2021 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2104.10380 https://dx.doi.org/10.48550/arxiv.2104.10380
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Locate then Segment: A Strong Pipeline for Referring Image Segmentation ...
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Learning Language Specific Sub-network for Multilingual Machine Translation ...
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Contrastive Learning for Many-to-many Multilingual Neural Machine Translation ...
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Multilingual Translation via Grafting Pre-trained Language Models ...
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Counter-Interference Adapter for Multilingual Machine Translation ...
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MTG: A Benchmarking Suite for Multilingual Text Generation ...
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Language Tags Matter for Zero-Shot Neural Machine Translation ...
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Personalized Transformer for Explainable Recommendation ...
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Dynamic Knowledge Distillation for Pre-trained Language Models ...
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Learning Shared Semantic Space for Speech-to-Text Translation ...
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Glancing Transformer for Non-Autoregressive Neural Machine Translation ...
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Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification ...
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Probabilistic Graph Reasoning for Natural Proof Generation ...
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Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker ...
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Multilingual Translation via Grafting Pre-trained Language Models ...
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Language Tags Matter for Zero-Shot Neural Machine Translation ...
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