【正文】
的訓(xùn)練及解碼算法,是我們下一步要思考的問(wèn)題 中國(guó)科學(xué)院自動(dòng)化所 Institute of Automation, Chinese Academy of Sciences 參考文獻(xiàn) [1] 中科院自動(dòng)化所評(píng)測(cè)技術(shù)報(bào)告 (SYSTEM II),第四屆機(jī)器翻譯研討會(huì), 2023 [2] Wei Wei, Wei Pang, Zhendong Yang, Zhenbiao Chen, Chengqing Zong, Bo Xu. CASIA SMT System for TCSTAR Evaluation Campaign 2023. In: TCSTAR workshop, 2023. [3] Yaser AlOnaizan, Kishore Papineni. Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL ACL 39。06 [4] Philipp Koehn, et al. Edinburgh System Description for the 2023 IWSLT Speech Translation Evaluation, International Workshop on Spoken Language Translation 2023. [5] 魏瑋,杜金華,徐波,基于組塊分析的分層短語(yǔ)系統(tǒng),第九屆計(jì)算語(yǔ)言學(xué)年會(huì), 2023 [6] . Sim, W. Byrne, M. Gales, H. Sahbi and P. Woodland. Consensus Network Decoding For Statistical Machine Translation System [A]. In: ICASSP, 2023. [7] 杜金華 ,魏瑋 ,楊振東 ,徐波 . 基于混淆網(wǎng)絡(luò)的統(tǒng)計(jì)機(jī)器翻譯多系統(tǒng)融合技術(shù)研究 . 第三屆統(tǒng)計(jì)機(jī)器翻譯研討會(huì) , 2023. 中國(guó)科學(xué)院自動(dòng)化所 Institute of Automation, Chinese Academy of Sciences CASIA 謝 謝 CASIA 演講完畢,謝謝觀看!