How many manys? Exploring semantic theories with data-driven computational models
AbstractWe use a data-driven computational inference approach to address the question whether it is plausible to maintain that there is a stable core semantics that governs the interpretation of cardinal and proportional many across different contexts. Adopting the idea that the denotation of many is a function of a stable threshold parameter that applies to a contextually-variable probability distribution that captures prior expectations, we demonstrate that it is possible to maintain that there is a single fixed threshold for many’s cardinal and proportional use, although models that allow for non-uniform thresholds or lexical ambiguity may have a slightly better empirical fit to our data.
How to Cite
Schöller, A., & Franke, M. (1). How many manys? Exploring semantic theories with data-driven computational models. Proceedings of Sinn Und Bedeutung, 20, 622-639. Retrieved from https://ojs.ub.uni-konstanz.de/sub/index.php/sub/article/view/285
Copyright (c) 2019 Anthea Schöller, Michael Franke
This work is licensed under a Creative Commons Attribution 4.0 International License.https://creativecommons.org/licenses/by/4.0/