Overall design of an intelligent computer-aided translation platform based on hybrid strategy

The overall design scheme of an interactive intelligent computer-aided translation platform based on hybrid strategy is proposed, so as to improve the performance of practical machine translation system. In this platform, the uniform knowledge representation of multi-resource, hybrid translation strategies, multiple knowledge acquisition methods and optimization translation selection are combined. In addition, object-oriented knowledge-base management for multi-type data is embedded as well. So, it is possible to implement hybrid strategy and interactive multi-knowledge intelligent processing, and to provide integrated processing based on rule-based analysis, analogy-based consistent reasoning and statistics-based processing, human computer interactive interface, and object-oriented management mechanism for the databases of translation projects, tasks and users.