1. 毕业设计（论文）的内容和要求
随着时代的进步,人与人之间跨越语言进行交流的需求日益增加,通过机器自动处理语言之间的翻译也越来越受到人们的关注,机器翻译即是解决这一问题的有力武器,也是目前自然语言处理领域的研究热点。
神经机器翻译是目前机器翻译领域占主流地位的方法。
神经网络机器翻译模型多采用seq2seq模型架构，以便实现输入输出长度不等的翻译问题。
2. 参考文献
[1]Peter F Brown, Stephen Della A Pietra, Vincent Della J Pietra,等. The Mathematics of Statistical Machine Translation: Parameter Estimation[J]. Computational Linguistics, 1993, 19(2):263-311.[2]Koehn P , Och F J , Marcu D . Statistical Phrase-Based Translation[C]// Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1. Association for Computational Linguistics, 2003.[3]Chiang, David. Hierarchical Phrase-Based Translation[J]. Computational Linguistics, 2007, 33(2):201-228. [4]Sutskever I , Vinyals O , Le Q V . Sequence to Sequence Learning with Neural Networks[J]. Advances in neural information processing systems, 2014. [5]Bahdanau D, Cho K, Bengio Y. Neural machine translation by jointly learning to align and translate[J]. arXiv preprint arXiv:1409.0473, 2014.[6]Lopez, Adam. Statistical machine translation[J]. ACM Computing Surveys, 2008, 40(3):1-49. [7]Brown P F , Pietra S D A , Pietra V D J , et al. The Mathematics of Statistical Machine Translation: Parameter Estimation[J]. Computational Linguistics, 1993, 19(2):263-311. [8]Och F J , Ney H . A Systematic Comparison of Various Statistical Alignment Models[J]. Computational Linguistics, 2003, 29(1):19-51. [9]Percy Liang, Benjamin Taskar, Dan Klein. Alignment by Agreement[C]// Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, New York, USA. 2006.[10]Zhang W N, Zhu Q, Wang Y, et al. Neural personalized response generation as domain adaptation[J]. World Wide Web, 2019, 22(4): 1427-1446.[11]Shao L , Gouws S , Britz D , et al. Generating Long and Diverse Responses with Neural Conversation Models[J]. arXiv:1701.03185, 2017.[12]Yaghoobzadeh Y, Schtze H. Multi-level representations for fine-grained typing of knowledge base entities[J]. arXiv preprint arXiv:1701.02025, 2017.[13]Taskar B , Lacoste-Julien S , Klein D . A Discriminative Matching Approach to Word Alignment[C]// HLT/EMNLP 2005, Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, 6-8 October 2005, Vancouver, British Columbia, Canada. Association for Computational Linguistics, 2005.
以上是毕业论文任务书，课题毕业论文、开题报告、外文翻译、程序设计、图纸设计等资料可联系客服协助查找。
