Intelligent Proofreading System for Foreign Language Databases Based on Improved Phrase Translation Model
Yan Zhang, Yue Wu, Fang Hui · 2024
In order to enhance the proofreading accuracy of foreign language translation systems and improve the coherence of phrases and syntax, we have developed an intelligent proofreading system for foreign language databases based on an improved phrase translation model. Firstly, we integrate the analysis of semantic features and phrase translations to construct a semantic ontology translation model. Subsequently, an intelligent proofreading system is designed and implemented, with detailed planning and execution of the system program. Finally, the effectiveness and performance of the constructed system are validated. Experimental results demonstrate that the proofreading accuracy of the system reaches an impressive 99.0%, showing a significant improvement of 27.5% compared to the pre-proofreading state. This indicates a substantial enhancement in the precision of proofreading achieved by our system. When compared to other proofreading methods, our system exhibits higher accuracy in proofreading, along with stronger coherence in phrases and sentences, highlighting the superior qualities of this system.