Write-righter: An Academic Writing Assistant System

Writing academic articles in English is a challenging task for non-native speakers, as more effort has to be spent to enhance their language expressions. This paper presents an academic writing assistant system called Write-righter, which can provide real-time hint and recommendation by analyzing the input context. To achieve this goal, some novel strategies, e. g. , semantic extension based sentence retrieval and LDA based sentence structure identification have been proposed. Write-righter is expected to help people express their ideas correctly by recommending top N most possible expressions.

Authors

• Yuanchao Liu
• Xin Wang
• Ming Liu
• Xiaolong Wang College of Control Science and Engineering, Zhejiang University

Keywords

No keywords are indexed for this paper.