Abstract
To solve the problem of poor coherence, an intelligent proofreading system based on improved phrase translation model is proposed. Firstly, semantic ontology model is created by creating semantic ontology model and phrase translation combined translation algorithm. In addition, the overall design of the system. Through the overall architecture of the system, the software and hardware of the system are designed. The hardware design is mainly the search module, so as to improve the accuracy of the search. In the software module process, it mainly includes the system application framework, network topology, client, translator organization and management, online collaborative translation and other modules, and can support the translation and proofreading of multiple languages. Finally, the system is tested. The test results show that the system can meet the needs of users and improve the efficiency of proofreading.
Export citation and abstract BibTeX RIS
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.