English

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

Computation and Language 2022-06-20 v1

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.

Keywords

Cite

@article{arxiv.2206.08724,
  title  = {Crowdsourcing Relative Rankings of Multi-Word Expressions: Experts versus Non-Experts},
  author = {David Alfter and Therese Lindström Tiedemann and Elena Volodina},
  journal= {arXiv preprint arXiv:2206.08724},
  year   = {2022}
}