Exposure and Emergence in Usage-Based Grammar: Computational Experiments in 35 Languages
Not on the map. Why?
Abstract (arXiv)
This paper uses computational experiments to explore the role of exposure in the emergence of construction grammars. While usage-based grammars are hypothesized to depend on a learner's exposure to actual language use, the mechanisms of such exposure have only been studied in a few constructions in isolation. This paper experiments with (i) the growth rate of the constructicon, (ii) the convergence rate of grammars exposed to independent registers, and (iii) the rate at which constructions are forgotten when they have not been recently observed. These experiments show that the lexicon grows more quickly than the grammar and that the growth rate of the grammar is not dependent on the growth rate of the lexicon. At the same time, register-specific grammars converge onto more similar constructions as the amount of exposure increases. This means that the influence of specific registers becomes less important as exposure increases. Finally, the rate at which constructions are forgotten when they have not been recently observed mirrors the growth rate of the constructicon. This paper thus presents a computational model of usage-based grammar that includes both the emergence and the unentrenchment of constructions.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 17 of its 86 references that are in the map. First posted on arXiv 25 Nov 2022.
Builds on
17 of 86 references.
References · 17
- 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
- 2018Learning Word Vectors for 157 Languagescited by 280
- 2020Mapping Languages: The Corpus of Global Language Usecited by 42
- 2020CxGBERT: BERT meets Construction Grammarcited by 32
- 2019Modeling Global Syntactic Variation in English Using Dialect Classificationcited by 13
- 2019Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammarcited by 11
- 2021Finding Variants for Construction-Based Dialectometry: A Corpus-Based Approach to Regional CxGscited by 11
- 2021Global Syntactic Variation in Seven Languages: Towards a Computational Dialectologycited by 11
- 2021Representations of Language Varieties Are Reliable Given Corpus Similarity Measurescited by 10
- 2014A Robust Transformation-Based Learning Approach Using Ripple Down Rules for Part-of-Speech Taggingcited by 9
- 2019Modeling the Complexity and Descriptive Adequacy of Construction Grammarscited by 9
- 2021Production vs Perception: The Role of Individuality in Usage-Based Grammar Inductioncited by 6
5 more
- 2021Learned Construction Grammars Converge Across Registers Given Increased Exposurecited by 6
- 2022Stability of Syntactic Dialect Classification Over Space and Timecited by 5
- 2022Predicting Embedding Reliability in Low-Resource Settings Using Corpus Similarity Measurescited by 3
- 2022Register Variation Remains Stable Across 60 Languagescited by 3
- 2021Multi-Unit Directional Measures of Association: Moving Beyond Pairs of Wordscited by 1
Built on by
Citing papers per year: 2023: 3; 2024: 2; 2025: 0; 2026: 1.
6 papers.
- 2024Large corpora and large language models: a replicable method for automating grammatical annotationcited by 5
- 2023Exploring the Constructicon: Linguistic Analysis of a Computational CxGcited by 3
- 2023Enhancing Language Representation with Constructional Information for Natural Language Understandingcited by 2
- 2023Syntactic Variation Across the Grammar: Modelling a Complex Adaptive Systemcited by 1
- 2024The Computational Learning of Construction Grammars: State of the Art and Prospective Roadmapcited by 1
- 2026A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corporacited by 1
- 2026A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corpora13 Mar 2026
- 2024Large corpora and large language models: a replicable method for automating grammatical annotation18 Nov 2024
- 2024The Computational Learning of Construction Grammars: State of the Art and Prospective Roadmap10 Jul 2024
- 2023Syntactic Variation Across the Grammar: Modelling a Complex Adaptive System21 Sep 2023
- 2023Enhancing Language Representation with Constructional Information for Natural Language Understanding5 Jun 2023
- 2023Exploring the Constructicon: Linguistic Analysis of a Computational CxG30 Jan 2023