Context Structure in Interactive Machine Translation

Since its inception, contextual meaning has been one of the greatest obstacles for machine translation.Artificial intelligence (AI) and human-computer interaction (HCI) are influencing each other more than ever before at present.A productive collaboration between AI and HCI has made recent translation advances possible.Based on translators' cognitive efforts when interacting with machines, this article proposed a hierarchical structure of context for interactive machine translation environment tools, including local context, global context, and contextual effects.This framework enables software developers, project managers, and linguists who work with an interactive machine translation system to better incorporate contextual factors when collecting, managing, and analyzing data from human feedback, resulting in relevant strategic plans for automatic segmentation and an accurate estimation of the level of human involvement.