Research and Development of English Intelligent Proofreading System based on Modern Intelligent Recognition Technology

Abstract

With the continuous development of modern information technology, English learning methods and approaches are gradually diversified, especially the English electronic dictionary, which makes English learning easier. The quality of translation is an important criterion to measure the results of English interpret, which is mainly characterized by errors in translation characters or spelling, inconsistent expression, lexical and grammatical errors, etc. At present, the most advanced machine translation method, the so-called phrase-based model, is only limited to the mapping of small text blocks. Because language information is not explicitly used, it may be morphological, syntactic or semantic. This paper designs an English machine translation model based on modern intelligent recognition technology. Through the direct maximum entropy model, we can get the best combination of different features in complex English sentences, eliminate some structural ambiguities and improve the accuracy of English machine translation. Based on modern intelligent identification technology, this paper studies the development of English intelligent proofreading system, grasps the user's behavior data through behavior log, and optimizes the system. The software part of the system PP. adopts the computer intelligent proofreading method based on the improved phrase translation model to find the correct words to replace the words to be proofread and realize the intelligent proofreading of English interpret.