For the CLIN28 shared task, we evaluated systems for spelling correction of high-quality text. The task focused on detecting and correcting spelling errors in Dutch Wikipedia pages. Three teams took part in the task. We compared the performance of their systems to that of a baseline system, the Dutch spelling corrector Valkuil. We evaluated the systems’ performance in terms of F1 score. Although two of the three participating systems performed well in the task of correcting spelling errors, error detection proved to be a challenging task, and without exception resulted in a high false positive rate. Therefore, the F1 score of the baseline was not improved upon. This paper elaborates on each team’s approach to the task, and discusses the overall challenges of correcting high-quality text.
|Number of pages
|Computational Linguistics in the Netherlands Journal
|Published - 1 Dec 2018
|28th Computational Linguistics in the Netherlands Conference, CLIN 2018 - Nijmegen, Netherlands
Duration: 26 Jan 2018 → 26 Jan 2018