CEPT

Collaborative Editing Tool for Non-native Authors

JavaScript, Python​

September 2016 - May 2017

Professor: Yuanchun Shi, Department of Computer Science and Technology

Pervasive Human Interaction Group, Tsinghua University

Beijing, China

Project Introduction

CEPT is a novel collaborative editing system that supports language knowledge sharing among non-native co-authors by aggregating edits of all co-authors and presenting them in an easy-to-understand way.

My Contribution

• Designed a collaborative editing system that aims to facilitate the sharing of language knowledge among non-native co-authors, with the ultimate goal to improve language quality of writing.

• Performed dozens of enhancements to the original system from the aspects of functional improvement, interface optimization, and stability enhancement using Django in the back end and jQuery in the front end.

• Conducted a large-scale user study of our system in graduate English writing courses in Tsinghua University, which was proved to be superior to well-known industry-leading product Google Docs regarding edit quality and user experience.

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Co-workers

Yeshuang Zhu, Sijia Xiao