Productivity Promotion Strategies for Collabo- rative Translation on Huge-Volume Technical Documents

Automatic machine translation systems are seen unable to produce publishable quality translation, so various computer-assisted translation systems that emphasize humanmachine cooperation have been proposed. However, translator collaboration technologies are underdeveloped, an area of great importance for large volume translation tasks. Ideally, all human translation knowledge is shared among translators in order to maximize productivity. In a knowledge engineering manner, our collaborative translation platform collects translation knowledge and actively pushes in real time. The mutual learning between translators and machine simultaneously builds the knowledge base and improves translators’ proficiency. This paper introduces the collaboration strategies used in our platform that not only promote productivity but also ensure the translation quality. Comparative experiments by 36 professional translators prove the effectiveness of our collaboration strategies. A sounding result is that 22 professional translators completed a 97,000 page Chinese-English technical manual translation task within 42 months.