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Data-driven learning in and out of the language classroom / Pascual Pérez-Paredes, Alex Boulton.
Author
Pérez-Paredes, Pascual
[Browse]
Format
Book
Language
English
Published/Created
Cambridge : Cambridge University Press, 2025.
Description
1 online resource (92 pages) : digital, PDF file(s).
Details
Subject(s)
Corpora (Linguistics)
—
Data processing
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Computational linguistics
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Language and languages
—
Computer-assisted instruction
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Second language acquisition
[Browse]
Author
Boulton, Alex
[Browse]
Series
Cambridge elements. Elements in language teaching
[More in this series]
Cambridge elements. Elements in language teaching, 2632-4415
[More in this series]
Summary note
Data-Driven Learning (DDL) can be broadly defined as the use of corpus tools and techniques for learners and teachers of foreign or second language, typically in the form of concordances derived from authentic texts for inductive learning of lexicogrammar. This Element is a practical guide for language teachers and graduate students intending to explore or upgrade their use of corpora in the language classroom and beyond. In today's context, where advances in computing and information processing dominate our social and professional interactions, the use of corpora emerges as a prime resource with which to approach data-driven language learning and teaching, developing language awareness, noticing skills and critical thinking for learning that generative AI cannot do for you.
Notes
Title from publisher's bibliographic system (viewed on 16 May 2025).
ISBN
9781009511384 (ebook)
Statement on responsible collection description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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