The road ahead for Construction Grammar

Abstract What does the future hold for Construction Grammar? What are the most promising future avenues for research on constructions? This paper addresses the development of Construction Grammar as a theory of language through the perspective of six recent PhD dissertations that explore constructional meaning, the architecture of the constructional network, and the role of language change in a constructional theory of language. The goal of this paper is to establish connections between these ideas, and to spell out how different questions concerning Frame Semantics, distributional semantic methods, priming, nodes and connections, individual differences, and constructional change all contribute to a picture that is bigger than the sum of its parts.

Authors

Publication Details

Journal
Constructions and Frames
Published
2024-09-06
DOI
https://doi.org/10.1075/cf.23014.hil
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.35
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article

The road ahead for Construction Grammar

Martin Hilpert
1 citations
Constructions and Frames
Natural Language Processing Techniques
0.35
article

The road ahead for Construction Grammar

Martin Hilpert
article en
1 citations

Abstract

Abstract What does the future hold for Construction Grammar? What are the most promising future avenues for research on constructions? This paper addresses the development of Construction Grammar as a theory of language through the perspective of six recent PhD dissertations that explore constructional meaning, the architecture of the constructional network, and the role of language change in a constructional theory of language. The goal of this paper is to establish connections between these ideas, and to spell out how different questions concerning Frame Semantics, distributional semantic methods, priming, nodes and connections, individual differences, and constructional change all contribute to a picture that is bigger than the sum of its parts.

Constructions and FramesVol. 16(2)
Openalex Percentile: Top 34%
Natural Language Processing Techniques
0.35
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