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Comparing data-driven to corpus-based approaches for diachronic variation: document-classification and overuse metrics

Schneider, Gerold (2022). Comparing data-driven to corpus-based approaches for diachronic variation: document-classification and overuse metrics. In: Schlüter, Julia; Schützler, Ole. Data and Methods in Corpus Linguistics: Comparative Approaches. Cambridge: Cambridge University Press, 291-322.

Additional indexing

Item Type:Book Section, not_refereed, original work
Communities & Collections:06 Faculty of Arts > English Department
06 Faculty of Arts > Institute of Computational Linguistics
06 Faculty of Arts > Zurich Center for Linguistics
06 Faculty of Arts > Linguistic Research Infrastructure (LiRI)
Dewey Decimal Classification:820 English & Old English literatures
Uncontrolled Keywords:data-driven, corpus linguistics, corpus-driven. corpus-based, diachronic linguistics, english linguistics, linguistic methods
Language:English
Date:2022
Deposited On:10 Feb 2023 11:03
Last Modified:10 Feb 2023 11:32
Publisher:Cambridge University Press
ISBN:9781108499644
OA Status:Closed
Related URLs:https://www.cambridge.org/hk/academic/subjects/languages-linguistics/research-methods-linguistics/data-and-methods-corpus-linguistics-comparative-approaches#contentsTabAnchor (Publisher)

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