Applied Cognitive Linguistics and L2 Instruction

Llopis-García, Reyes

doi:10.1017/9781009128094

Cited by 3 publications

References 100 publications

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Computational Construction Grammar

Dunn

2024

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This Element introduces a usage-based computational approach to Construction Grammar that draws on techniques from natural language processing and unsupervised machine learning. This work explores how to represent constructions, how to learn constructions from a corpus, and how to arrange the constructions in a grammar as a network. From a theoretical perspective, this Element examines how construction grammars emerge from usage alone as complex systems, with slot-constraints learned at the same time that constructions are learned. From a practical perspective, this work is accompanied by a Python package which enables linguists to incorporate construction grammars into their own corpus-based work. The computational experiments in this Element are important for testing the learnability, variability, and confirmability of Construction Grammar as a theory of language. All code examples will leverage the cloud computing platform Code Ocean to guide readers through implementation of these algorithms.

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Computational Construction Grammar

Dunn

2024

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Cognitive Linguistics and Language Evolution

Pleyer,

Hartmann

2024

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The evolution of language has developed into a large research field. Two questions are particularly relevant for this strand of research: firstly, how did the human capacity for language emerge? And secondly, which processes of cultural evolution are involved both in the evolution of human language from non-linguistic communication and in the continued evolution of human languages? Much research on language evolution that addresses these two questions is highly compatible with the usage-based approach to language pursued in cognitive linguistics. Focusing on key topics such as comparing human language and animal communication, experimental approaches to language evolution, and evolutionary dynamics in language, this Element gives an overview of the current state-of-the-art of language evolution research and discusses how cognitive linguistics and research on the evolution of language can cross-fertilise each other. This title is also available as Open Access on Cambridge Core.

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Challenges and potential of quasi-experimental studies in cognitive linguistics applied to language teaching and learning

Martín-Gascón

2024

RCL

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This review study focuses on the challenges faced when conducting effects-of-instruction research in Applied Cognitive Linguistics. It offers an overview of relevant research that has sought to demonstrate the effectiveness of a cognitive-based approach to second language (L2) pedagogy and provides illustrations from previous work in L2 Spanish by the author and colleagues of some of the factors that can influence findings in quasi-experimental research. More specifically, the study addresses some of the difficulties encountered in the design of materials and assessment tests, during the pedagogical intervention and the data collection and data analysis phases. These include choice of assessment, test effects, sample size, withdrawal, and time-on-task, among others. Along with these methodological issues, a discussion of possible solutions as well as pedagogical and methodological implications are discussed.

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Applied Cognitive Linguistics and L2 Instruction

Cited by 3 publications

References 100 publications

Computational Construction Grammar

Computational Construction Grammar

Cognitive Linguistics and Language Evolution

Challenges and potential of quasi-experimental studies in cognitive linguistics applied to language teaching and learning

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