Page 140 - 《软件学报》2020年第12期

3806 Journal of Software 软件学报 Vol.31, No.12, December 2020

法.该方法首先对汉语和越南语进行句法解析,得到句法解析树;然后,将句法解析树信息转化为向量表示;最后,
将得到的句法向量融入到神经机器翻译模型编码器的输入中.本文在汉语-越南语、英语-越南语上进行了实验,
同时又对比了不同深度的卷积神经网络、不同大小卷积核对实验结果的影响.结果表明:融入源语言句法解析
树信息,能够有效提高汉-越神经机器翻译模型的性能.当然,该方法也存在一些不足,由于越南语在分词、词性标
记以及句法解析的准确率不足,导致训练过程中的特征提中存在错误,影响最终神经机器翻译模型的性能.在未
来的工作中,我们会探索从神经机器翻译模型的方面进行改进,进一步提升汉-越神经机器翻译模型的性能.

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