@miscellaneous{Juzek2019,
title = {Annotation quality assessment and error correction in diachronic corpora: Combining pattern-based and machine learning approaches},
author = {Tom Juzek and Stefan Fischer and Marie-Pauline Krielke and Stefania Degaetano-Ortlieb and Elke Teich},
url = {https://www.researchgate.net/publication/392840455_Annotation_quality_assessment_and_error_correction_in_diachronic_corpora_Combining_pattern-based_and_machine_learning_approaches},
year = {2019},
date = {2019},
booktitle = {52nd Annual Meeting of the Societas Linguistica Europaea (Book of Abstracts)},
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<p class="chakra-text css-8oiimb">The presented study improves syntactic annotation in the Royal Society Corpus (1665–1869) by combining pattern-based and machine learning methods to correct parsing errors, aiming to better analyse grammatical complexity in historical scientific English.

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pubstate = {published},
type = {miscellaneous}
}