基于神经网络语言模型的统计机器翻译应用分析

Application Analysis of Statistical Machine Translation Based on Neural Network Language Model

文章通过深度学习方法,提升统计机器翻译精准度为当前重要研究方向。统计机器翻译基于语言模型进行分析,对神经网络语言模型在统计机器翻译中的应用进行研究。通过基于词和短语的神经网络语言模型在汉-英、汉-日中的应用进行测试。测试结果表明,该模型可有效提高统计机器翻译水平。

The article improves the accuracy of statistical machine translation by deep learning methods as an important current research direction.Statistical machine translation is analyzed based on language models,and the application of neural network language models in statistical machine translation is investigated.The application of neural network language model based on words and phrases in Chinese-English and Chinese-Japanese is tested.The test results show that the model can effectively improve statistical machine translation.