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

June 17, 2022 ยท Declared Dead ยท ๐Ÿ› NEJLT

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Authors David Alfter, Therese Lindstrรถm Tiedemann, Elena Volodina arXiv ID 2206.08724 Category cs.CL: Computation & Language Citations 7 Venue NEJLT Last Checked 5 months ago
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.
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