Text Simplification: Impact of Noun Phrase Length on Sentence Difficulty
As described in Section 2 of the associated publication, this dataset contains 360 sentences from 12 experimental conditions: NP length (2-gram, 3-gram, 4-gram), NP split (Yes/No), and pseudoword use (Yes/No).
Perceived difficulty (Likert Scale) and actual difficulty (multiple choice content questions) for each sentence are provided as an average. The average is based on approximately 35 evaluations per sentence by Amazon Mechanical Turk workers.
For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu
Funding
Large-scale evaluation of text features affecting perceived and actual text diffi
United States National Library of Medicine
Find out more...Audio Generation and Optimization from Existing Resources for Patient Education
United States National Library of Medicine
Find out more...History
Usage metrics
Categories
- Information systems user experience design and development
- Other health sciences not elsewhere classified
- Digital health
- Health informatics and information systems
- Applied linguistics and educational linguistics
- Corpus linguistics
- Computational linguistics
- Linguistic structures (incl. phonology, morphology and syntax)
- Data management and data science not elsewhere classified
- Data mining and knowledge discovery
