Abstract

Investigations of linguistic meaning rely crucially on truth-value judgments, which assess whether a sentence can truthfully describe a given scenario. In investigations of language acquisition, truth-value judgments are used to assess both the target knowledge adults have and the developing knowledge children have at different ages. On the basis of truth-value judgments, researchers have concluded that differences between how children resolve ambiguous utterances and how adults do so persist until at least age five. Current explanations compatible with the experimental data attribute these differences to both grammatical processing and pragmatic factors. Here, we use computational cognitive modeling to formally articulate one hypothesis about the ambiguity-resolution process that underlies child and adult judgments in a truth-value judgment task; crucially, the model can separate out the individual contributions of specific grammatical processing and pragmatic factors to the resulting judgment behavior. We find that pragmatic factors play a larger role than grammatical processing factors in explaining children’s non-adult-like ambiguity resolution behavior. Interestingly, the model predicts qualitative similarity between child and adult ambiguity resolution. Given this prediction, we then extend our model to show how the same processes may be active in adult ambiguity resolution. This result supports continuity in the development of ambiguity resolution, where children do not qualitatively change how they resolve ambiguity in order to become adult-like. We discuss the implications of our results for acquisition more generally, including both theories of development and methods for assessing that development, as well as the generalizability of this model of ambiguity resolution beyond the specific cases we consider.

Highlights

  • How should we characterize the meaning of sentences, and how do we learn that meaning? These questions call into focus the intersection of two traditions of inquiry: the semantics of natural language and language development

  • Semanticists agree that truth conditions are a key component of sentence meaning: if you know what a sentence means, you can identify the sorts of situations it describes

  • Our results suggest that when it comes to understanding non-adult-like behavior in the truthvalue judgment task, there is a stronger role for the pragmatics of context management than for grammatical processing, there may be a role for both

Read more

Summary

Introduction

These questions call into focus the intersection of two traditions of inquiry: the semantics of natural language and language development. One of the key empirical methodologies for questions at this intersection is the truth-value judgment task (Crain & McKee 1985; Crain & Thornton 1998). We use a complementary methodology to investigate how to interpret truth-value judgment behavior in specific cases where the truth-value judgment task has been used. We model the cognitive processes, both linguistic and extra-linguistic, that deliver truth-value judgment task behavior in precise experimental contexts. This computational cognitive modeling allows us to separate out the contributions from these different cognitive processes, in contrast with behavioral contexts where these processes interact

Truth-value judgments for assessing meaning
A concrete truth-value judgment task example
Computational cognitive modeling of the truth-value judgment task
The rest of this paper
Children on the truth-value judgment task
A computational cognitive model for every-not utterances
Model specification
Model predictions
Discussion
Two-not
General discussion
Perceived usefulness for communication
Findings
Generalizability of our model of ambiguity resolution
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.