POETRY AUTOMATIC GENERATION SYSTEM BASED ON NATURAL LANGUAGE PROCESSING

X. Xu, J. Miao, Y. Chen, S. Yang
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Abstract

In order to increase comprehension on abstract theory and decrease the fear of writing intelligent algorithms, engineering training based on poetry automatic generation system of natural speech recognition technology is proposed. Firstly, the background of artificial intelligence(AI) is introduced, then the comprehensive experimental teaching was separated into the simple operation training model designing and exploring teaching model, due to the characteristics and problems of complex artificial intelli-gence engineering simulation education for undergraduates. Finally, Combining the advantages of some algorithms, Displaying the automatically generated poetry to collect samples, which can enable students to learn the application of intelligent algorithm intuitively. The test on the training platform shows that the automatic generation of five characters or seven characters poems has a high probability of poetic features, and the strong correlation is between the poems generated by LSTM model and keywords.
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基于自然语言处理的诗歌自动生成系统
为了提高对抽象理论的理解,减少对编写智能算法的恐惧,提出了基于自然语音识别技术的诗歌自动生成系统的工程训练。首先介绍了人工智能(AI)的背景,然后针对复杂的本科人工智能工程仿真教育的特点和存在的问题,将综合实验教学分为简单的操作训练模式设计与探索教学模式。最后,结合一些算法的优点,展示自动生成的诗歌采集样本,使学生能够直观地了解智能算法的应用。在训练平台上的测试表明,自动生成的五字或七字诗歌具有较高的诗歌特征概率,LSTM模型生成的诗歌与关键词之间具有较强的相关性。
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