|Goals:||Build a neural model that can generate Chinese couplet response.|
|Assistant:||Yubo Xie (yubo DOT xie AT epfl DOT ch)|
|Keywords:||Chinese couplets, sequence transduction, natural language processing|
Chinese couplets are a reduced form of Chinese poems, composed of two lines of poetry, adhering to some rules. Dueling couplets has been a popular game among intellectuals since ancient China, where one composes the second line according to the given first line. This can be regarded as a sequence transduction problem. This semester project aims at teaching machines to compose the second lines in couplets, using data-driven approaches such as neural networks.
The student is expected to:
|Related Skills:||Proficiency in Chinese; basic knowledge in neural networks|
|Suitable for:||Master student. Interested student should contact Yubo Xie (yubo DOT xie AT epfl DOT ch) and Pearl Pu (pearl DOT pu AT epfl DOT ch) along with a copy of your CV.|