Automated Writing Support Using Deep Linguistic Parsers

no code implementations • LREC 2020 • Lu{\'\i}s Morgado da Costa, Roger V P Winder, Shu Yun Li, Benedict Christopher Lin Tzer Liang, Joseph MacKinnon, Francis Bond

This paper introduces a new web system that integrates English Grammatical Error Detection (GED) and course-specific stylistic guidelines to automatically review and provide feedback on student assignments.

Grammatical Error Detection

NTUCLE: Developing a Corpus of Learner English to Provide Writing Support for Engineering Students

no code implementations • WS 2017 • Roger Vivek Placidus Winder, Joseph MacKinnon, Shu Yun Li, Benedict Christopher Tzer Liang Lin, Carmel Lee Hah Heah, Lu{\'\i}s Morgado da Costa, Takayuki Kuribayashi, Francis Bond

A corpus of assignments submitted by first year engineering students was compiled, and a new error tag set for the NTU Corpus of Learner English (NTUCLE) was developed based on that of the NUS Corpus of Learner English (NUCLE), as well as marking rubrics used at NTU.

TAG