Constructions are influenced in their realization by the degree of activation of horizontally linked constructions: using BERT sentence embeddings to test contamination between constructions

Abstract Pijpops and Van de Velde (2016. Constructional contamination: How does it work and how do we measure it? Folia Linguistica 50(2). 543–581) demonstrated that an alternation within a construction may be influenced by a different construction that is coincidentally formally similar through the process of constructional contamination. This mechanism has been explained as a consequence of the storage of unanalyzed chunks produced by a contaminating construction, which are later recycled in a target construction. Consequently, constructional contamination has hitherto been measured by calculating the frequency of individual lexemes (which are assumed to be part of exemplar chunks eligible for recycling) in the contaminating construction. In this paper, we propose a different measurement for constructional contamination. Using the large language model RobBERT, we define “prototype embeddings” for both the target construction and the contaminating construction involved in constructional contamination. For each instance of the target construction, we calculate its similarity to these prototypes. We then show that these similarity variables are significantly correlated with the alternation within the target construction: the more an instance of the target construction is semantically similar to the contaminating construction, the more likely it is to appear with the alternant that is exclusively used in that contaminating construction. Our results are in line with a scenario in which horizontal links, which hold between formally similar constructions, can directly trigger constructional contamination. In addition, we find that the more semantically similar an instance is to the prototype of the target construction itself, the more likely it is to appear with the alternant that is not found in the contaminating construction, supporting a view of the constructional network in which constructions are themselves conceptualized as links rather than nodes.

Authors

Institutions

Publication Details

Journal
Corpus Linguistics and Linguistic Theory
Published
2026-02-04
DOI
https://doi.org/10.1515/cllt-2025-0069
Primary Topic
Syntax, Semantics, Linguistic Variation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Constructions are influenced in their realization by the degree of activation of horizontally linked constructions: using BERT sentence embeddings to test contamination between constructions

Gauthier Delaby, Timothy Colleman
Corpus Linguistics and Linguistic Theory
Syntax, Semantics, Linguistic Variation
article

Constructions are influenced in their realization by the degree of activation of horizontally linked constructions: using BERT sentence embeddings to test contamination between constructions

Gauthier Delaby, Timothy Colleman
article en

Abstract

Abstract Pijpops and Van de Velde (2016. Constructional contamination: How does it work and how do we measure it? Folia Linguistica 50(2). 543–581) demonstrated that an alternation within a construction may be influenced by a different construction that is coincidentally formally similar through the process of constructional contamination. This mechanism has been explained as a consequence of the storage of unanalyzed chunks produced by a contaminating construction, which are later recycled in a target construction. Consequently, constructional contamination has hitherto been measured by calculating the frequency of individual lexemes (which are assumed to be part of exemplar chunks eligible for recycling) in the contaminating construction. In this paper, we propose a different measurement for constructional contamination. Using the large language model RobBERT, we define “prototype embeddings” for both the target construction and the contaminating construction involved in constructional contamination. For each instance of the target construction, we calculate its similarity to these prototypes. We then show that these similarity variables are significantly correlated with the alternation within the target construction: the more an instance of the target construction is semantically similar to the contaminating construction, the more likely it is to appear with the alternant that is exclusively used in that contaminating construction. Our results are in line with a scenario in which horizontal links, which hold between formally similar constructions, can directly trigger constructional contamination. In addition, we find that the more semantically similar an instance is to the prototype of the target construction itself, the more likely it is to appear with the alternant that is not found in the contaminating construction, supporting a view of the constructional network in which constructions are themselves conceptualized as links rather than nodes.

Corpus Linguistics and Linguistic Theory
Ghent University Hospital (BE)
Fonds Wetenschappelijk Onderzoek, Vlaamse regering
Sustainable cities and communities
Openalex Percentile: Top 72%
Syntax, Semantics, Linguistic Variation
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.