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

Evert S, Wankerl S, Nöth E (2017)


Publication Language: English

Publication Type: Conference contribution, Abstract of lecture

Publication year: 2017

City/Town: Birmingham, UK

Conference Proceedings Title: Proceedings of the Corpus Linguistics 2017 Conference

Event location: Birmingham GB

URI: http://purl.org/stefan.evert/PUB/EvertWankerlNoeth2017.pdf

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.

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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, Stephanie, 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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