Development of Calculating Machine Intelligent Proofreading System Based on Phrase Translator Model
Fen Xie · 2022
At present, there are various types of machine translation tools, but the translation accuracy is low. However, the current research mainly focuses on improving translation accuracy, lightweight translation products, good user experience, etc., but lacks some attention to translation quality control. Due to the influence of translators' translation ability and workload, the translated text contains a certain number of misspellings and inconsistencies with the original text. The evaluation of translation quality is mainly based on some subjective translation standards with different opinions, and is done manually by experts. With the development of society, this manual process has gradually become a major obstacle to translation activities, translation teaching and even translation research. There may be several consecutive sentence fragments in the corpus, which have short vocabularies and the same length. In this case, the alignment algorithm based on vocabulary is prone to errors. Based on the phrase translator model, this paper constructs a computer intelligent proofreading system to realize machine intelligent proofreading of computer translation.