Paper: Developing Methodology for Korean Particle Error Detection

ACL ID W11-1410
Title Developing Methodology for Korean Particle Error Detection
Venue Innovative Use of NLP for Building Educational Applications
Session
Year 2011
Authors

We further work on detecting errors in post- positional particle usage by learners of Korean by improving the training data and develop- ing a complete pipeline of particle selection. We improve the data by filtering non-Korean data and sampling instances to better match the particle distribution. Our evaluation shows that, while the data selection is effective, there is much work to be done with preprocessing and system optimization.