Grammatical Templates: Improving Text Difficulty Evaluation for Language Learners

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Wang, Shuhan; Andersen, Erik;
  • Subject: Computer Science - Computation and Language | Computer Science - Artificial Intelligence

Language students are most engaged while reading texts at an appropriate difficulty level. However, existing methods of evaluating text difficulty focus mainly on vocabulary and do not prioritize grammatical features, hence they do not work well for language learners wi... View more
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