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

Autor: Alfter, David, Tiedemann, Therese Lindström, Volodina, Elena
Rok vydání: 2022
Předmět:
Zdroj: Northern European Journal of Language Technology. Volume 1. 2021
Druh dokumentu: Working Paper
DOI: 10.3384/nejlt.2000-1533.2021.3128
Popis: 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.
Databáze: arXiv