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Crowdsourcing Relative Rankings of Multi-Word Expressions: Experts versus Non-Experts

Authors :
Alfter, David
Tiedemann, Therese Lindström
Volodina, Elena
Source :
Northern European Journal of Language Technology. Volume 1. 2021
Publication Year :
2022

Abstract

In this study we investigate to which degree experts and non-experts agree on questions of difficulty in a crowdsourcing experiment. We ask non-experts (second language learners of Swedish) and two groups of experts (teachers of Swedish as a second/foreign language and CEFR experts) to rank multi-word expressions in a crowdsourcing experiment. We find that the resulting rankings by all the three tested groups correlate to a very high degree, which suggests that judgments produced in a comparative setting are not influenced by professional insights into Swedish as a second language.

Details

Database :
arXiv
Journal :
Northern European Journal of Language Technology. Volume 1. 2021
Publication Type :
Report
Accession number :
edsarx.2206.08724
Document Type :
Working Paper
Full Text :
https://doi.org/10.3384/nejlt.2000-1533.2021.3128