文本到场景的智能学习转换

Rehana Delair, Hiral Sojitra, Krupa Patel, Krupa Bhatt, Kinjal N. Gharia, Rutal Mahajan
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引用次数: 3

摘要

文本到场景转换系统自动将给定的自然语言文本转换为其视觉表示形式,如现成的图像,合成场景或动画。自然语言是我们人类相互交流的语言。我们建立了一个将自然语言文本转换为合成场景的系统。它基本上将具有空间关系的句子转换为虚拟场景。它涉及自然语言处理和三维计算机图形技术。系统主要由两个模块组成:文本处理模块和图形处理模块。文本处理模块起着重要的作用。它处理用户给出的文本,并找到创建场景的对象。图形模块将这些信息作为输入,并通过将这些物体放置在相对位置来生成场景。由于可视化可以使学生更容易地理解概念,我们提出了一种将数学问题可视化的文本到场景转换系统,这有助于理解问题陈述并解决问题。该系统在教育领域的应用有助于制定有效的教学方法。
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Text to Scene conversion for smart learning
Text to Scene conversion system automatically converts the given natural language text in to its visual representation such as readymade image, composite scene or animation. Natural language is a language in which we, humans interact with each other. We have built a system which converts the natural language text into the composite scene. It basically converts the sentences with spatial relationships into virtual scene. It involves the natural language processing and 3D computer graphics techniques. System consists of two main modules: text processing module and graphics module. Text processing module plays an important role. It processes the text given by user and finds the objects to create the scene. Graphics module takes this information as input and generates scene by placing those objects in relative position. As students can understand the concepts easily with the visualization, we have proposed a system of text to scene conversion to visualize maths problems, which can be useful to understand the problem statement and solve it. Application of this system in education domain can be useful in developing efficient methodology.
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