DAWN. Dutch automated writing evaluation through NLP

Start - End 
2022 - 2023 (ongoing)
Type 
Department(s) 
Department of Translation, Interpreting and Communication
Research Focus 
Research Period 
Research Methodology 

Tabgroup

Abstract

The primary research objective of this project is to use machine learning techniques to enable automatic writing evaluation. Various innovative methods will be researched to detect and provide feedback on writing errors through different modules. Starting from sentence-level errors such as spelling and certain grammatical errors, and moving up to paragraph or even text-level errors that impact a text's coherence and therefore its readability. The research will also explore how to best provide feedback on writing products to motivate people and help them improve their writing skills in the process. For this, experiments on the use of generative language models will be included as well.

People

Supervisor(s)

Co-supervisor(s)

Phd Student(s)