Publication
Title
Investigating lexical effects in syntax with regularized regression (Lasso)
Author
Abstract
Within usage-based theory, notably in construction grammar though also elsewhere, the role of the lexicon and of lexically-specific patterns in morphosyntax is well recognized. The methodology, however, is not always sufficiently suited to get at the details, as lexical effects are difficult to study under what are currently the standard methods for investigating grammar empirically. In this short article, we propose a method from machine learning: regularized regression (Lasso) with k-fold cross-validation, and compare its performance with a Distinctive Collexeme Analysis.
Language
English
Source (journal)
Journal of Research Design & Statistics in Linguistics & Communication Science
Publication
2021
ISSN
2052-417X
DOI
10.1558/JRDS.18964
Volume/pages
6 :2 (2021)
Full text (Publisher's DOI)
UAntwerpen
External links
Record
Identifier
Creation 19.10.2023
Last edited 19.10.2023
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