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1
Facebook AI WMT21 News Translation Task Submission ...
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2
Alternative Input Signals Ease Transfer in Multilingual Machine Translation ...
Sun, Simeng; Fan, Angela; Cross, James. - : arXiv, 2021
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3
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.68 Abstract: We present a simple yet effective approach to build multilingual speech-to-text (ST) translation through efficient transfer learning from a pretrained speech encoder and text decoder. Our key finding is that a minimalistic LNA (LayerNorm and Attention) finetuning can achieve zero-shot crosslingual and cross-modality transfer ability by only finetuning 10~50% of the pretrained parameters. This effectively leverages large pretrained models at low training cost such as wav2vec 2.0 for acoustic modeling, and mBART for multilingual text generation. This sets a new state-of-the-art for 36 translation directions (and surpassing cascaded ST for 26 of them) on the large-scale multilingual ST benchmark CoVoST 2 (+6.4 BLEU on average for En-X directions and +6.7 BLEU for X-En directions). Our approach demonstrates strong zero-shot performance in a many-to-many multilingual model (+5.6 BLEU on average across 28 non-English directions), making it an ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/z2bj-rv03
https://underline.io/lecture/25429-multilingual-speech-translation-from-efficient-finetuning-of-pretrained-models
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4
Multilingual Translation with Extensible Multilingual Pretraining and Finetuning ...
Tang, Yuqing; Tran, Chau; Li, Xian. - : arXiv, 2020
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5
Cross-lingual Retrieval for Iterative Self-Supervised Training ...
Tran, Chau; Tang, Yuqing; Li, Xian. - : arXiv, 2020
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6
Multilingual Speech Translation with Efficient Finetuning of Pretrained Models ...
Li, Xian; Wang, Changhan; Tang, Yun. - : arXiv, 2020
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