Reliable measures of syntactic and lexical complexity: The case of Iris Murdoch

Conference contribution
(Abstract of lecture)


Publication Details

Author(s): Evert S, Wankerl S, Nöth E
Publishing place: Birmingham, UK
Publication year: 2017
Conference Proceedings Title: Proceedings of the Corpus Linguistics 2017 Conference
Language: English


Abstract


In this paper, we propose a novel methodology for the computation of reliable confidence intervals and significance tests for measures of linguistic complexity, inspired by ideas from bootstrapping and cross-validation. As an illustration, we apply the new method to the detection of early symptoms of Alzheimer's disease in the novels of Iris Murdoch, showing that most of the differences observed in previous work are not signficant and can indeed be accounted for by sampling variation.



FAU Authors / FAU Editors

Evert, Stefan Prof. Dr.
Lehrstuhl für Korpus- und Computerlinguistik
Nöth, Elmar Prof. Dr.-Ing.
Professur für Informatik (Mustererkennung)
Wankerl, Sebastian
Professur für Korpuslinguistik


Research Fields

Methodological foundations of corpus research and digital humanities
Lehrstuhl für Korpus- und Computerlinguistik


How to cite

APA:
Evert, S., Wankerl, S., & Nöth, E. (2017). Reliable measures of syntactic and lexical complexity: The case of Iris Murdoch. Paper presentation, Birmingham, GB.

MLA:
Evert, Stefan, Sebastian Wankerl, and Elmar Nöth. "Reliable measures of syntactic and lexical complexity: The case of Iris Murdoch." Presented at Proceedings of the Corpus Linguistics 2017 Conference, Birmingham Birmingham, UK, 2017.

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Last updated on 2018-11-08 at 00:09

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