Using broad linguistic complexity modeling for cross-lingual readability assessment

Contributors:
  1. Detmar Meurers

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Description: This project contains all scripts and data for the article Weiss, Chen, Meurers (2021): Using broad linguistic complexity modeling for cross-lingual readability assessment. In: Proceedings of the 10th Workshop on NLP for Computer Assisted Language Learning.

License: CC-By Attribution 4.0 International

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Abstract: We investigate the readability classification of English and German reading materials for language learners based on a broad linguistic complexity feature set supporting the parallel analysis of both German and English. After illustrating the quality of the cross-lingual feature set by showing that it yields state-of-the-art classification performance for the established OneStopEnglish c...

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