Full description
A collection of crowd-sourced (via Figure-Eight) human judgements of "English" tweet readability as assessed by participants with the following language backgrounds: Dutch, German, Mandarin, Cantonese, Spanish, Portuguese.
Demographic data
(RMIT Approved Ethics Application SEHAPP 48-18.)
Any publications using the data should cite:
Jacob, P., & Uitdenbogerd, A. L. (2019). Readability of Twitter Tweets for Second Language Learners. In Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association (pp. 19-27), Meladel Mistica, Massimo Piccardi, Andrew MacKinlay (Editors).
Issued: 2020-11-16
Created: 2020-11-25
Subjects
Computer-Human Interaction |
Human Information Behaviour |
Information Retrieval and Web Search |
Natural Language Processing |
human judgements |
language acquisition |
readability |
twitter readability |
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Identifiers
- DOI : 10.25439/RMT.13244579.V2