OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification
By Sowmya Vajjala, Ivana Lucic. 2018
156 citations recorded by the source corpus.
This paper describes the collection and compilation of the OneStopEnglish corpus of texts written at three reading levels, and demonstrates its usefulness for through two applications - automatic readability assessment and automatic text simplification. The corpus consists of 189 texts, each in three versions (567 in total). The corpus is now freely available under a CC by-SA 4.0 license and we hope that it would foster further research on the topics of readability assessment and text simplification.
Subfields: Artificial Intelligence, General Health Professions
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Citations in the corpus
- RAFT: A Real-World Few-Shot Text Classification Benchmark (2021, background): “OneStopEnglish [31] contains articles sourced from The Guardian newspaper and rewritten by teachers to suit three levels of adult English as a Second Language (ESL) learners.”