The pragmatics of exhaustivity in embedded questions: an experimental comparison of know and predict in German and English

Front Psychol. 2023 Sep 13:14:1148275. doi: 10.3389/fpsyg.2023.1148275. eCollection 2023.

Abstract

Introduction: We present a cross-linguistic experimental study that explores the exhaustivity properties of questions embedded under wissen/to know and korrekt vorhersagen/to correctly predict in German and English. While past theoretical literature has held that such embedded questions should only be interpreted as strongly exhaustive (SE), recent experimental findings suggest an intermediate exhaustive (IE) interpretation is also available and plausible.

Methods: Participants were confronted with a decision problem involving the different exhaustive readings and received a financial incentive based on their performance. We employed Bayesian analysis to create probabilistic models of participants' beliefs, linking their responses to readings based on utility maximization in simple decision problems.

Results: For wissen/to know, we found that the SE reading was most probable in both languages, aligning with early theoretical literature. However, we also attested to the presence of IE readings. For korrekt vorhersagen in German, the IE reading was most probable, whereas for the English phrase "to correctly predict," a preference for the SE reading was observed.

Discussion: This cross-linguistic variation correlates with independent corpus data, indicating that German vorhersagen and English to predict are not lexically equivalent. By including an explicit pragmatic component, our study complements previous work that has focused solely on the principled semantic availability of given readings.

Keywords: English; German; embedded questions; exhaustivity; experimental pragmatics; probabilistic modeling.

Grants and funding

This research has been supported by the LingLab Program at the University of Graz. LF, EO, and MZ have been supported by the project exhaustiveness in embedded questions across languages, Priority Program SPP 1727, XPRAG.de. We acknowledge support from the Open Access Publication Funds of the Ruhr-Universität Bochum.