Dueling Chinese Couplets with Neural Networks

April 12, 2019
Duration: One Semester
Lab: HCI/IC/EPFL
Goals: Build a neural model that can generate Chinese couplet response.
Assistant: Yubo Xie (yubo DOT xie AT epfl DOT ch)
Student Name: Open
Keywords: Chinese couplets, sequence transduction, natural language processing
Abstract:

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:

  • find or create a Chinese couplet dataset
  • use some sequence transduction architecture (for example seq2seq) to build a model
  • evaluate the results
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.