Papers by Filippo Santarelli
MALT-IT2: A New Resource to Measure Text Difficulty in Light of CEFR Levels for Italian L2 Learning (2020.lrec-1)
Copied to clipboard
| Challenge: | Existing methods to assess text difficulty in second or foreign language classrooms are subjective . formal and quantitative characteristics of a text have a major role in determining comprehensibility . |
| Approach: | They propose a system that automatically classifies inputted texts according to CEFR levels . they describe the rationale of the project and the corpus and computational system it is based on . |
| Outcome: | The proposed system is able to predict text difficulty in Italian, and it is reliable, the authors say . they also identify the features which most influenced the predictions . |