Construction grammar and language models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AX793SCSR" target="_blank" >RIV/00216208:11320/26:X793SCSR - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1017/9781009049139.023" target="_blank" >http://dx.doi.org/10.1017/9781009049139.023</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1017/9781009049139.023" target="_blank" >10.1017/9781009049139.023</a>
Alternative languages
Result language
angličtina
Original language name
Construction grammar and language models
Original language description
Recent progress in deep learning and natural language processing has given rise to powerful models that are primarily trained on a cloze-like task and show some evidence of having access to substantial linguistic information, including some constructional knowledge. This groundbreaking discovery presents an exciting opportunity for a synergistic relationship between computational methods and Construction Grammar research. In this chapter, we explore three distinct approaches to the interplay between computational methods and Construction Grammar: (i) computational methods for text analysis, (ii) computational Construction Grammar, and (iii) deep learning models, with a particular focus on language models. We touch upon the first two approaches as a contextual foundation for the use of computational methods before providing an accessible, yet comprehensive overview of deep learning models, which also addresses reservations construction grammarians may have. Additionally, we delve into experiments that explore the emergence of constructionally relevant information within these models while also examining the aspects of Construction Grammar that may pose challenges for these models. This chapter aims to foster collaboration between researchers in the fields of natural language processing and Construction Grammar. By doing so, we hope to pave the way for new insights and advancements in both these fields. © Cambridge University Press & Assessment 2025. All rights reserved.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
The Cambridge Handbook of Construction Grammar
ISBN
978-1-009-04913-9
Number of pages of the result
24
Pages from-to
572-595
Number of pages of the book
674
Publisher name
Cambridge University Press
Place of publication
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UT code for WoS chapter
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