Fr. 160.00

Actuality Inferences - Causality, Aspect, and Modality

English · Hardback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

Read more










This book investigates the phenomenon of actuality inferences, in which claims of ability are interpreted as descriptions of actual events, instead of as descriptions of potentiality or possibility. The findings contribute to a growing body of research in which computational models serve as an analytic tool for lexical and compositional semantics.

List of contents










  • 1: Introduction

  • 2: Setting the stage

  • 3: Causal dependence in implicativity

  • 4: Variable implicativity

  • 5: Enough and too semantics

  • 6: Aspect and actuality inferences

  • 7: Ability, actuality, and implicativity

  • 8: Conclusion

  • Appendix A: Notes on causal necessity

  • Appendix B: Sources for examples

  • References

  • Index



About the author

Prerna Nadathur is Assistant Professor in the Department of Linguistics at The Ohio State University. Her research examines connections between lexical meaning and sentence-level patterns of semantic and pragmatic interpretation, with a focus on formal approaches to the representation of causal meaning across the lexical and compositional levels. She received her PhD in Linguistics from Stanford University in 2019, and has since held positions at Heinrich Heine University in Düsseldorf, Berkeley, and the University of Konstanz.

Summary

This book investigates the phenomenon of actuality inferences, in which claims of ability are interpreted as descriptions of actual events, instead of as descriptions of potentiality or possibility. The findings contribute to a growing body of research in which computational models serve as an analytic tool for lexical and compositional semantics.

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.