A Web 2.0-Based System for Learning Jintishi
A Web2.0-based System for Learning Jintishi From ancient times to nowadays, poetry has been always one of popular means for people to express their feelings and thoughts. Poems can be expressed in many levels of human livings such as social and political activities, as well as product promotion. Writing lively and rhythmic poems not only facilitate message transfer, but also enrich our culture content. Hence, learning poems can be seen as one of effective ways to place the foundation of the so-called soft power for a political state. Jintishi, developed in Tang and Song dynasties, can be seen as one precious asset of Chinese culture. However, Jintishi is a kind of regulated verse, full of syntactic and semantic parallelism, hence making it difficult for students to comprehend or even compose it. Recently some browsing-based or keyword-based systems were built for Jintishi learning, yet they are lack of adaptive guidance. In this project, a web2.0-based system for learning Jintishi will be presented with the aim to improve Jintishi learning. The system will be implemented in two years. In the first year, we will focus on poetic ontologies construction and relevant poetic resources integration by using the poem processing techniques presented in our previous projects. The learning system will support an interactive and context-based query interface to retrieve relevant information from poetic knowledge databases as well as poem databases. We will explore novel techniques to efficiently index and tag acquired resources. In the second year, we will focus on the design of a user-friendly poetry assistant. The assistant will support writing guidance, composition analysis and scoring. In the last, the presented system will be evaluated by high-school students in strict and practical ways. It is believed that the implementation of this project will not only enhance the enjoyment to learn Chinese literary work but also facilitate the exploration of novel digital archive processing techniques.
|Gov't Doc #:||NSC99-2221-E009-130-MY2|
|Appears in Collections:||Research Plans|