Anna Eva Hallin

  • Citations Per Year
Learn More
We investigate grammatical error detection in spoken language, and present a data-driven method to train a dependency parser to automatically identify and label grammatical errors. This method is agnostic to the label set used, and the only manual annotations needed for training are grammatical error labels. We find that the proposed system is robust to(More)
Purpose The first aim of this study was to investigate if Swedish-speaking school-age children with language impairment (LI) show specific morphosyntactic vulnerabilities in error detection. The second aim was to investigate the effects of lexical frequency on error detection, an overlooked aspect of previous error detection studies. Method Error(More)
  • 1