36.1070, Software: Interactive self-learning package for www.English-Corpora.org: KorPLUS available as OER

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Fri Mar 28 03:05:08 UTC 2025


LINGUIST List: Vol-36-1070. Fri Mar 28 2025. ISSN: 1069 - 4875.

Subject: 36.1070, Software: Interactive self-learning package for www.English-Corpora.org: KorPLUS available as OER

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Date: 27-Mar-2025
From: Julia Schlüter [julia.schlueter at uni-bamberg.de]
Subject: Interactive self-learning package for www.English-Corpora.org: KorPLUS available as OER


We're excited to launch and share the free and interactive "KorPLUS"
OER self-learning package, tailored to the needs of advanced students
and teachers of English as well as anyone interested in the English
language. It is based on the widely-used www.English-Corpora.org
interface and endorsed by the platform's host, Mark Davies
(https://www.English-Corpora.org/thirdPartyMaterials.asp).
https://www.uni-bamberg.de/KorPLUS/
Make your students corpus-literate (https://youtu.be/72ZQiluCbgA),
recommend it to (future) teachers (https://youtu.be/Hkw3l9SF-R4), or
enhance your own corpus skills with hands-on corpus searches dealing
with everyday language problems (choice of words, prepositions,
collocations, syntactic constructions, formal/informal language,
British/American/other Englishes, etc.).
- Use the flexible, AI-supported material in parts or as a whole, as a
standalone online course or integrated into blended-learning settings.
- Click along with demo videos, do interactive exercises at different
levels, and receive suggestions for stimulating classroom discussions.
- Complete the corpus basics in only 2 to 3 hours and the entire
package in 10 to 20 hours.
- Earn a certificate after the successful completion of the course.
- Apply the takeaways to typical language challenges in advanced
writing and transfer your skills easily to corpus-based linguistic
research.
Julia Schlüter and Katharina Deckert (University of Bamberg, Germany),
in collaboration with Jürgen Handke (Virtual Linguistics Campus Team,
University of Marburg, Germany)
Funded by the Stiftung Innovation in der Hochschullehre
(https://stiftung-hochschullehre.de/).
P.S.: Corpora in the hands of experts are - for the time being - more
reliable than AI tools in cases of doubtful acceptability (e.g. in
text correction/proofreading); see the playlist "Corpora vs. AI
Tools", https://youtu.be/32tb7Xs7fFw?si=mhiaSyH9oG-1TjxM.

Linguistic Field(s): Applied Linguistics
                     Computational Linguistics
                     Text/Corpus Linguistics

Subject Language(s): English (eng)




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