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1
Learning Language Specific Sub-network for Multilingual Machine Translation ...
Lin, Zehui; Wu, Liwei; Wang, Mingxuan. - : arXiv, 2021
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2
Learning Language Specific Sub-network for Multilingual Machine Translation ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.25 Abstract: Multilingual neural machine translation aims at learning a single translation model for multiple languages. These jointly trained models often suffer from performance degradationon rich-resource language pairs. We attribute this degeneration to parameter interference. In this paper, we propose LaSS to jointly train a single unified multilingual MT model. LaSS learns Language Specific Sub-network (LaSS) for each language pair to counter parameter interference. Comprehensive experiments on IWSLT and WMT datasets with various Transformer architectures show that LaSS obtains gains on 36 language pairs by up to 1.2 BLEU. Besides, LaSS shows its strong generalization performance at easy adaptation to new language pairs and zero-shot translation. LaSS boosts zero-shot translation with an average of 8.3 BLEU on 30 language pairs. Codes and trained models are available at https://github.com/NLP-Playground/LaSS. ...
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/jewv-jq48
https://underline.io/lecture/25376-learning-language-specific-sub-network-for-multilingual-machine-translation
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3
Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information ...
Lin, Zehui; Pan, Xiao; Wang, Mingxuan. - : arXiv, 2020
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4
The Volctrans Machine Translation System for WMT20 ...
Wu, Liwei; Pan, Xiao; Lin, Zehui. - : arXiv, 2020
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