In machine translation, we often try to collect resources to improve performance. However, most of the language pairs, such as Korean-Arabic and Korean-Vietnamese, do not have enough resources to train machine translation systems. In this paper, we propose the use of synthetic methods for extending a low-resource corpus and apply it to a multi-source neural machine translation model. We showed ...

Multi-agent models for virtual reality and methods of construction for intelligent man-machine interface on their base are discussed. The main results are the development of human-machine interface on the base of virtual reality models for multi-agent robotic systems, assisting to neurosurgeon, computer animated agencies and for remote monitoring and multi-agent control of large territories and...