Dynamic Semantics for Non-Sentential Utterances

This paper re-examines non-sentential utterances (NSUs) ―expressions lacking sentence form but conveying propositional content―through the lens of dynamic semantics, which treats sentence meaning as context updating. The paper first provides an overview of NSUs and the current state of research. Then, it explores the dynamic aspects of NSU interpretation, proposing a dynamic semantics centered on updates to the interpreter’s information state, including an analysis of epistemic NSUs. Finally, the paper briefly discusses the implications of viewing NSUs dynamically, focusing on their impact on meaning, propositions, and the static-dynamic distinction in semantics.

Authors

Institutions

Publication Details

Journal
Kagaku tetsugaku
Published
2025-03-30
DOI
https://doi.org/10.4216/jpssj.57.2_37
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic Semantics for Non-Sentential Utterances

Takayuki Amamoto
Kagaku tetsugaku
Natural Language Processing Techniques
article

Dynamic Semantics for Non-Sentential Utterances

Takayuki Amamoto
article en

Abstract

This paper re-examines non-sentential utterances (NSUs) ―expressions lacking sentence form but conveying propositional content―through the lens of dynamic semantics, which treats sentence meaning as context updating. The paper first provides an overview of NSUs and the current state of research. Then, it explores the dynamic aspects of NSU interpretation, proposing a dynamic semantics centered on updates to the interpreter’s information state, including an analysis of epistemic NSUs. Finally, the paper briefly discusses the implications of viewing NSUs dynamically, focusing on their impact on meaning, propositions, and the static-dynamic distinction in semantics.

Kagaku tetsugakuVol. 57(2)
Keio University (JP)
Quality Education
Openalex Percentile: Top 97%
Natural Language Processing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.