基于移动端的神经网络汉英翻译模型

Chinese-English translation model of neural network based on mo-bile phone

摘要:

为了使中英文翻译更加智能以及更加合理,采用句子级的释义对译文进行改写,将其视为同一语言之间的翻译任务。在没有大规模平行释义语料库的情况下,利用机器翻译结果和源语言的参考翻译来近似平行释义语料库。然后,利用该模型训练一个从机器翻译结果到参考翻译的重复系统,生成语义一致的句子级重复结果。在此基础上,将重述结果引入系统整合的翻译假设中。最后,在翻译和释义的基础上,进行了面向移动应用的设计和开发,实现了中英文机器翻译。

Abstract:

In order to make Chinese and English translation more intelligent and more reasonable, this article uses sentence-level interpretation to rewrite the translation as a translation task between the same language. In the absence of a large-scale parallel paraphrasing corpus, the machine translation results and the reference translation of the source language are used to approximate the parallel paraphrasing corpus. Then, the model is used to train a repetitive system from machine translation results to reference translations to generate semantically consistent sentence-level repetition results. Based on this, the results of restatement are introduced into the translation assumption of system integration. Finally, on the basis of translation and interpretation, the mobile application-oriented design and development were carried out to realize Chinese and English machine translation.