Page 78 - 《软件学报》2021年第10期
P. 78
3050 Journal of Software 软件学报 Vol.32, No.10, October 2021
[39] Johnson M, Schuster M, Le Q, et al. Google’s multilingual neural machine translation system: Enabling zero-shot translation. Trans.
of the Association for Computational Linguistics, 2017,5:339351.
[40] Kingma DP, Ba J. Adam: A method for stochastic optimization. arXiv Preprint arXiv: 1412.6980, 2014.
[41] Papineni K, Roukos S, Ward T, et al. BLEU: A method for automatic evaluation of machine translation. In: Proc. of the 40th
Annual Meeting of the Association for Computational Linguistics. 2002. 311318.
[42] Banerjee S, Lavie A. METEOR: An automatic metric for MT evaluation with improved correlation with human judgments. Intrinsic
and Extrinsic Evaluation Measures for Machine Translation and/or Summarization, 2005, 65.
[43] Popović M. chrF++: Words helping character n-grams. In: Proc. of the 2nd Conf. on Machine Translation. 2017. 612618.
[44] Zhang T, Kishore V, Wu F, et al. BERTScore: Evaluating text generation with BERT. In: Proc. of the Int’l Conf. on Learning
Representations. 2020.
[45] Liu Y, Ott M, Goyal N, et al. Roberta: A robustly optimized BERT pretraining approach. arXiv Preprint arXiv: 1907.11692, 2019.
徐东钦(1995-),男,硕士,主要研究领域为 朱慕华(1981-),男,博士,主要研究领域为
自然语言处理. 自然语言处理.
李军辉(1983-),男,博士,副教授,CCF 专 周国栋(1967-),男,博士,教授,博士生导
业会员,主要研究领域为自然语言处理. 师,CCF 杰出会员,主要研究领域为自然语
言处理.