论文部分内容阅读
随着计算机科学技术的发展,机器学习逐渐成为人工智能研究的核心之一。目前研究已经取得了很大的进展,然而随着人工智能的深入发展,机器学习面临着越来越多的挑战,其中之一就是对文学语言的理解。文学语言对机器学习提出的挑战主要有两方面:一是文学表现手法对机器学习的挑战;二是情感倾向分析对机器学习的挑战。从文学语言对机器学习的这两方面挑战入手,反观文学类文本的教学,其目的是在机器学习和人类学习的对比中找到文学类文本教学的重难点解读和训练方法。
With the development of computer science and technology, machine learning has gradually become one of the core of artificial intelligence research. At present, great progress has been made in research. However, with the further development of artificial intelligence, machine learning faces more and more challenges. One of them is the understanding of literary language. The main challenges posed by literary language to machine learning are twofold: first, the challenge of machine learning from literary expression; second, the challenge of machine learning from affective tendencies analysis. From the literary language challenge to these two aspects of machine learning, the other hand, the teaching of literary texts, the purpose of which is to compare the machine learning and human learning to find literary text teaching difficult and difficult to read and training methods.