Research on Machine Translation (MT) System Based on Deep Reinforcement Learning
Author:
Affiliation:
1. Fuzhou University of International Studies and Trade,School of Foreign Languages,Fuzhou,Fujian,China,350202
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10143803/10143740/10143855.pdf?arnumber=10143855
Reference12 articles.
1. Unsupervised Weighting of Transfer Rules in Rule-Based MT using Maximum-Entropy Approach[J];bayatli;Journal of Information Science and Engineering,2020
2. The Hindi to Dogri machine translation system: grammatical perspective
3. Cloud Reasoning Model-based Exploration for MT[J];li;Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology,2018
4. Fine-Grained Human Evaluation of Neural Versus Phrase-Based MT[J];toral;The Prague Bulletin of Mathematical Linguistics,2017
5. MT-based Optimization for Cache-enabled Opportunistic Interference Alignment Wireless Networks[J];ying;IEEE Transactions on Vehicular Technology,2017
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