Data Analytics in Cognitive Linguistics

Methods and Insights

Dennis Tay, Molly Xie Pan

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English

De Gruyter Mouton
24 October 2023

Psycholinguistics; Computational linguistics

Series: Applications of Cognitive Linguistics [ACL]

Contemporary data analytics involves extracting insights from data and translating them into action. With its turn towards empirical methods and convergent data sources, cognitive linguistics is a fertile context for data analytics. There are key differences between data analytics and statistical analysis as typically conceived. Though the former requires the latter, it emphasizes the role of domain-specific knowledge. Statistical analysis also tends to be associated with preconceived hypotheses and controlled data. Data analytics, on the other hand, can help explore unstructured datasets and inspire emergent questions.

This volume addresses two key aspects in data analytics for cognitive linguistic work. Firstly, it elaborates the bottom-up guiding role of data analytics in the research trajectory, and how it helps to formulate and refine questions. Secondly, it shows how data analytics can suggest concrete courses of research-based action, which is crucial for cognitive linguistics to be truly applied. The papers in this volume impart various data analytic methods and report empirical studies across different areas of research and application. They aim to benefit new and experienced researchers alike.

Edited by: Dennis Tay, Molly Xie Pan
Imprint: De Gruyter Mouton
Country of Publication: Germany
Dimensions: Height: 230mm, Width: 155mm,
Weight: 675g
ISBN: 9783111353463
ISBN 10: 311135346X
Series: Applications of Cognitive Linguistics [ACL]
Pages: 352
Publication Date: 24 October 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Dennis Tay, The Hong Kong Polytechnic University, Hong Kong; Molly Xie Pan, Fudan University, Shanghai.