Crowdsourcing elicitation data for semantic typologies


When doing semantic typology, it is desirable to have quick and easy access to crosslinguistic data of elicitations describing stimuli from a semantic domain. We explore the use of crowdsourcing for obtaining such data, and compare it with fieldwork data obtained through in-person elicitations. Despite potential concerns about the quality of crowdsourced data, we find no difference in the amount of between-language variation. We also replicate cognitive modeling experiments using the crowdsourced data in place of the fieldwork data. This suggests that crowdsourcing elicitations is a viable method for gathering data for semantic typology and cognitive modeling.

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