第三种方法虽然说可以认为是前两种方法的一个“中和”,但是不同语言之间的特性不一致,使得不同翻译任务的共享程度是不一样的,共享的参数无法得到一个统一的结论,需要在实验中进行调节,某种程度也是一种损耗。 [1]Parameter Sharing Methods for Multilingual Self-Attentional Translation Models. Sachan & Neubig 2018...
Neural Machine Translations (NMT) models are capable of translating a single bilingual pair and require a new model for each new language pair. Multilingual Neural Machine Translation models are capable of translating multiple language pairs, even pairs which it hasn't seen before in training. ...
Arivazhagan, N., Bapna, A., Firat, O., Lepikhin, D., Johnson, M., Krikun, M., ... & Wu, Y. (2019). Massively multilingual neural machine translation in the wild: Findings and challenges.arXiv preprint arXiv:1907.05019. 引言 多语言NMT能够显著降低部署成本。给定N个语言对,要想在任意...
第三种方法虽然说可以认为是前两种方法的一个“中和”,但是不同语言之间的特性不一致,使得不同翻译任务的共享程度是不一样的,共享的参数无法得到一个统一的结论,需要在实验中进行调节,某种程度也是一种损耗。 [1]Parameter Sharing Methods for Multilingual Self-Attentional Translation Models. Sachan & Neubig 2018...
While monolingual data has been shown to be useful in improving bilingual neural machine translation (NMT), effectively and efficiently leveraging monolingual data for Multilingual NMT (MNMT) systems is a less explored area. In this work, we propose a multi-task learning (MTL)...
内容提示: Improving Massively Multilingual Neural Machine Translation andZero-Shot TranslationBiao Zhang 1 Philip Williams 1 Ivan Titov 1,2 Rico Sennrich 3,11 School of Informatics, University of Edinburgh2 ILLC, University of Amsterdam3 Department of Computational Linguistics, University of ZurichB....
We explore various setups for multilingual Neural Machine Translation (NMT), namely knowledge distillation and transfer learning, multilingual NMT including a ... OD Gibert,R Vzquez,M Aulamo,... 被引量: 0发表: 2023年 Cross-lingual extreme summarization of scholarly documents Finally, we investig...
DeltaLM is augmented by ZCode powerful multitask learning: Multi-task Learning for Multilingual Neural Machine Translation. Our models show that combining multitask and multilingual learning can significantly improve training for large scale pretrained language models. Such multitask multi...
Neural Machine Translation Based on Back-Translation for Multilingual Translation Evaluation TaskThis paper presents the systems developed by Beijing Jiaotong University for the CCMT 2020 multilingual translation evaluation task. For this translation task, we need to build a Japanese-English translation ...
ACT-MNMT Auto-Constriction Turning for Multilingual Neural Machine Translation Shaojie Dai, Xin Liu, Ping Luo, Yue Yu 2024 Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOM Rachel Bawden, François Yvon ...